> ##summary(lm(ELAKETUb ~ EDUCI, data=D)) > > print(Sys.time()) [1] "2014-10-21 10:57:34 EEST" > ## regressiomallit > > summary(m1 <- lm( DURURA ~ 1 + LAHTO1 + LAHTO2 + MIES + AIKA + EDUCI + + JOB1 + JOB2 + JOB3 + JOB4, data=D)); Call: lm(formula = DURURA ~ 1 + LAHTO1 + LAHTO2 + MIES + AIKA + EDUCI + JOB1 + JOB2 + JOB3 + JOB4, data = D) Residuals: Min 1Q Median 3Q Max -42.130 -2.856 0.687 3.798 15.317 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 41.16174 0.30098 136.761 < 0.0000000000000002 *** LAHTO1 2.05194 0.11889 17.260 < 0.0000000000000002 *** LAHTO2 -1.29077 0.13498 -9.563 < 0.0000000000000002 *** MIES 0.77350 0.27823 2.780 0.00547 ** AIKA 0.24863 0.09830 2.529 0.01148 * EDUCI -0.68774 0.07384 -9.314 < 0.0000000000000002 *** JOB1 -0.42537 0.13290 -3.201 0.00138 ** JOB2 -0.11092 0.13663 -0.812 0.41698 JOB3 0.16657 0.15001 1.110 0.26690 JOB4 0.42994 0.10042 4.281 0.0000191 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 5.575 on 3235 degrees of freedom (115 observations deleted due to missingness) Multiple R-squared: 0.1452, Adjusted R-squared: 0.1428 F-statistic: 61.05 on 9 and 3235 DF, p-value: < 0.00000000000000022 > KM_olot; KM_TEHT; $LAHTO1 [1] "Lähtiessäni sai paljon kiitosta tekemästäni työstä ja -työurasta (TOLOT03,0.81)" [2] "Sai itse valita itselle sopivimman eläkkeelle siirtymisajankohdan (TOLOT02,0.78)" [3] "Siirtyi eläkkeelle vapaasta tahdosta-nlr-(eläkkeelle siirt. olosuhteet) (TOLOT01,0.74)" [4] "Viimeisen työpaikan olosuhteet erittäin työntekijäystävälliset (TOLOT04,0.73)" [5] "Siirsi omaa kokemusta ja osaamista työpaikan muille työntekijöille (TOLOT08,0.73)" [6] "Irtisanottiin henkilöstövähennysten yhteydessä (TOLOT09,-0.67)" [7] "Antoi itse tilaa nuoremmille työntekijöilleni (TOLOT10,0.52)" [8] "Painostettiin jättämään työ (TOLOT05,-0.45)" [9] "Työnantaja oli kustantanut lisäeläkkeitä (TOLOT06,0.38)" $LAHTO2 [1] "Henkinen työkyky oli huono (TOLOT07,0.76)" [2] "Tietotaidot olivat vanhentuneet (TOLOT12,0.75)" [3] "Harkitsi vakavasti siirtymistä toiselle alalle tai ammattiin (TOLOT13,0.64)" [4] "Fyysinen työkyky oli huono (TOLOT11,0.57)" [5] "Viimeisen työpaikan olosuhteet ovat sittemmin selvästi parantuneet (TOLOT14,0.55)" [6] "Etsittiin uusia työtehtäviä (TOLOT16,0.49)" [7] "Painostettiin jättämään työ (TOLOT05,0.43)" $HUONO_SOPIVUUS [1] "Painostettiin jättämään työ (TOLOT05,0.007)" [2] "Työmotivaation puolesta olisi voinut jatkaa työuraa paljon pitempään (TOLOT15,0.01)" [3] "Työnantaja oli kustantanut lisäeläkkeitä (TOLOT06,0.044)" $JOB1 [1] "Ura: asiakaskontaktien hoitaminen (TEHT09,0.74)" [2] "Ura: taloudelliset tehtävät (TEHT10,0.72)" [3] "Ura: myynti-, markkinointi-, esiintymis- tai neuvottelutehtävät (TEHT13,0.69)" [4] "Ura: tiedonvälitys ja vastaavat viestintätehtävät (TEHT04,0.68)" [5] "Ura: toiminta hallitsevasti kansainvälisessä ympäristössä (TEHT15,0.66)" [6] "Ura: henkilöstöhallinnolliset (TEHT16,0.66)" [7] "Ura: yrittäjä tai muu itsenäinen ammatinharjoittaja (TEHT08,0.65)" [8] "Ura: kirjallinen sisällön tuottaminen (asiakirjat, raportit, kirjat ym.) (TEHT17,0.64)" [9] "Ura: asema ylemmässä johdossa (TEHT07,0.63)" [10] "Ura: suurempaa ruumillista voimaa tai kestävyyttä vaativat tehtävät (TEHT14,0.62)" $JOB2 [1] "Ura: suunnittelu-, tutkimus- tai vastaavat asiantuntijatehtävät (TEHT12,0.58)" [2] "Ura: erittäin vaativat ja vastuulliset ongelmanratkaisutehtävät (TEHT03,0.57)" [3] "Ura: tekniset tehtävät (TEHT11,0.54)" [4] "Ura: tiedonvälitys ja vastaavat viestintätehtävät (TEHT04,0.43)" [5] "Ura: kirjallinen sisällön tuottaminen (asiakirjat, raportit, kirjat ym.) (TEHT17,0.42)" [6] "Ura: toiminta hallitsevasti kansainvälisessä ympäristössä (TEHT15,0.41)" [7] "Ura: suurempaa ruumillista voimaa tai kestävyyttä vaativat tehtävät (TEHT14,0.38)" [8] "Ura: asema ylemmässä johdossa (TEHT07,0.35)" [9] "Ura: asema keskijohdossa (TEHT06,0.33)" [10] "Ura: yrittäjä tai muu itsenäinen ammatinharjoittaja (TEHT08,0.31)" $JOB3 [1] "Ura: työnjohto tai vastaava alempi keskijohto (TEHT05,0.54)" [2] "Ura: asema keskijohdossa (TEHT06,0.46)" [3] "Ura: tekniset tehtävät (TEHT11,0.39)" [4] "Ura: asema ylemmässä johdossa (TEHT07,0.39)" [5] "Ura: suurempaa ruumillista voimaa tai kestävyyttä vaativat tehtävät (TEHT14,0.34)" [6] "Ura: yrittäjä tai muu itsenäinen ammatinharjoittaja (TEHT08,0.32)" $JOB4 [1] "Ura: työntekijä, puhtaasti suorittava työ (TEHT01,0.99)" [2] "Ura: suurempaa ruumillista voimaa tai kestävyyttä vaativat tehtävät (TEHT14,0.3)" $HUONO_SOPIVUUS [1] " (,)" > summary(m1 <- lm(ELAKETUb ~ MIES + DURURA + JOB1 + JOB2 + JOB3 + JOB4 + IKATUTK + EDUCI + TUTKV , data=D)) Call: lm(formula = ELAKETUb ~ MIES + DURURA + JOB1 + JOB2 + JOB3 + JOB4 + IKATUTK + EDUCI + TUTKV, data = D) Residuals: Min 1Q Median 3Q Max -1459.74 -362.72 -59.01 291.21 2818.86 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -175280.068 19554.800 -8.964 < 0.0000000000000002 *** MIES 490.869 27.741 17.695 < 0.0000000000000002 *** DURURA 18.997 1.741 10.912 < 0.0000000000000002 *** JOB1 -9.611 13.189 -0.729 0.46622 JOB2 41.197 13.494 3.053 0.00228 ** JOB3 74.443 14.778 5.038 0.00000049880 *** JOB4 -59.631 10.046 -5.936 0.00000000325 *** IKATUTK -2.825 2.855 -0.989 0.32258 EDUCI 77.339 7.407 10.441 < 0.0000000000000002 *** TUTKV 87.606 9.728 9.005 < 0.0000000000000002 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 537.8 on 3080 degrees of freedom (270 observations deleted due to missingness) Multiple R-squared: 0.3055, Adjusted R-squared: 0.3035 F-statistic: 150.6 on 9 and 3080 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm(log(ELAKETUb) ~ MIES + DURURA + JOB1 + JOB2 + JOB3 + JOB4 + EDUCI + TUTKV , data=D)) Call: lm(formula = log(ELAKETUb) ~ MIES + DURURA + JOB1 + JOB2 + JOB3 + JOB4 + EDUCI + TUTKV, data = D) Residuals: Min 1Q Median 3Q Max -0.99016 -0.16656 0.00014 0.16774 0.89541 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -82.0599015 9.3492688 -8.777 < 0.0000000000000002 *** MIES 0.2602959 0.0131769 19.754 < 0.0000000000000002 *** DURURA 0.0103318 0.0007911 13.061 < 0.0000000000000002 *** JOB1 -0.0110467 0.0062657 -1.763 0.07799 . JOB2 0.0194573 0.0064526 3.015 0.00259 ** JOB3 0.0312503 0.0070703 4.420 0.0000102129409 *** JOB4 -0.0324931 0.0047671 -6.816 0.0000000000112 *** EDUCI 0.0366237 0.0035432 10.336 < 0.0000000000000002 *** TUTKV 0.0442224 0.0046497 9.511 < 0.0000000000000002 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.2573 on 3081 degrees of freedom (270 observations deleted due to missingness) Multiple R-squared: 0.3403, Adjusted R-squared: 0.3386 F-statistic: 198.7 on 8 and 3081 DF, p-value: < 0.00000000000000022 > sink(file.path(tblpath, "tbl_log_elaketulot_lm1_tmt4.txt"), + append=FALSE, split=FALSE); > ### iconv(texte,"latin1","UTF-8") > > ####sink(file.path(tblpath, "print_elakeanalyysit1_tmt4.txt"); > #texte = "äää"; > #Encoding(texte) > ##### > .... [TRUNCATED] Call: lm(formula = ECOCAB1 ~ 1 + LAHTO1 + LAHTO2 + MIES + AIKA + EDUCI + JOB1 + JOB2 + JOB3 + JOB4, data = D) Residuals: Min 1Q Median 3Q Max -3.3178 -0.5786 0.0991 0.7348 2.3711 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.20242 0.06078 -3.330 0.000880 *** LAHTO1 0.20648 0.02344 8.810 < 0.0000000000000002 *** LAHTO2 -0.10305 0.02555 -4.034 0.00005661 *** MIES 0.10636 0.05580 1.906 0.056745 . AIKA 0.01731 0.01938 0.893 0.371693 EDUCI 0.05169 0.01462 3.536 0.000414 *** JOB1 -0.11475 0.02548 -4.504 0.00000698 *** JOB2 -0.08783 0.02664 -3.297 0.000992 *** JOB3 0.01859 0.02935 0.633 0.526512 JOB4 -0.05894 0.02007 -2.936 0.003356 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.9433 on 2379 degrees of freedom (971 observations deleted due to missingness) Multiple R-squared: 0.06416, Adjusted R-squared: 0.06062 F-statistic: 18.12 on 9 and 2379 DF, p-value: < 0.00000000000000022 > ## > summary(m1 <- lm(SAIPV ~ 1 + IKATUTK + MIES + LAHTO1 + LAHTO2 + ECOCAB1 + TUTKV, data=D)); Call: lm(formula = SAIPV ~ 1 + IKATUTK + MIES + LAHTO1 + LAHTO2 + ECOCAB1 + TUTKV, data = D) Residuals: Min 1Q Median 3Q Max -114.24 -19.88 -8.69 2.76 375.21 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -667.2717 2421.4251 -0.276 0.783 IKATUTK -4.3291 0.3334 -12.985 < 0.0000000000000002 *** MIES 2.2319 2.6472 0.843 0.399 LAHTO1 -1.7489 1.5044 -1.163 0.245 LAHTO2 8.6616 1.6601 5.218 0.00000020010301 *** ECOCAB1 -9.0706 1.2639 -7.176 0.00000000000101 *** TUTKV 0.4785 1.2044 0.397 0.691 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 53.61 on 1986 degrees of freedom (1367 observations deleted due to missingness) Multiple R-squared: 0.1429, Adjusted R-squared: 0.1404 F-statistic: 55.21 on 6 and 1986 DF, p-value: < 0.00000000000000022 > KM_ECOCAB NULL > summary(m1 <- lm(ELTYY ~ 1+ SAIPV + ACT1 + ACT2 + ACT3 + ACT4 + ACT5 + ACT6 + + IKATUTK + MIES + ECOCAB1 + TUTKV, data=D)); Call: lm(formula = ELTYY ~ 1 + SAIPV + ACT1 + ACT2 + ACT3 + ACT4 + ACT5 + ACT6 + IKATUTK + MIES + ECOCAB1 + TUTKV, data = D) Residuals: Min 1Q Median 3Q Max -6.2107 -0.5579 0.1516 0.7280 3.5626 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 20.9687322 52.0399664 0.403 0.687040 SAIPV -0.0033915 0.0004805 -7.058 0.00000000000234 *** ACT1 -0.0318244 0.0309961 -1.027 0.304676 ACT2 0.0629424 0.0351672 1.790 0.073639 . ACT3 -0.0820817 0.0361455 -2.271 0.023262 * ACT4 0.1281112 0.0360930 3.549 0.000395 *** ACT5 0.1858810 0.0417510 4.452 0.00000897823261 *** ACT6 0.0359383 0.0326964 1.099 0.271836 IKATUTK 0.0297227 0.0074591 3.985 0.00007001733387 *** MIES -0.0295554 0.0664396 -0.445 0.656479 ECOCAB1 0.5277526 0.0276927 19.057 < 0.0000000000000002 *** TUTKV -0.0074026 0.0258858 -0.286 0.774931 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.147 on 1968 degrees of freedom (1380 observations deleted due to missingness) Multiple R-squared: 0.2622, Adjusted R-squared: 0.2581 F-statistic: 63.59 on 11 and 1968 DF, p-value: < 0.00000000000000022 > KM_ACT; $ACT1 [1] "Kansainvälinen toiminta (TOIM24,0.83)" [2] "Filosofiset, yhteiskunnalliset ja elämäntarkoitukseen liittyvät kysymykset (TOIM26,0.79)" [3] "Muiden opettaminen, kouluttaminen, valmentaminen jne. (TOIM25,0.75)" [4] "Tieteet ja uusi teknologia (TOIM23,0.74)" [5] "Poliittinen ja aatteellinen toiminta (TOIM28,0.74)" [6] "Kirjoittaminen, muu luova itseilmaisu (TOIM19,0.69)" [7] "Estetiikka ja kauneus (TOIM22,0.69)" [8] "Opiskelu, kouluttautuminen (TOIM21,0.67)" [9] "Ammattiyhdistystoiminta (ay) (TOIM14,0.62)" [10] "Paikallinen toiminta (TOIM17,0.56)" $ACT2 [1] "Kalastus, metsästys, marjanpoiminta, viljely ym. (TOIM04,0.62)" [2] "Luonnonhoito (maa, metsä/kasvit, vesi, ilma) (TOIM05,0.58)" [3] "Rakentaminen ja korjaus (tavarat, asunnot, välineet jne. , myös hankinta) (TOIM03,0.53)" [4] "Retkeily ja muu luonnossa liikkuminen (TOIM06,0.37)" [5] "Rahallisia tuloja/palkkioita tuottava toiminta tai työnteko (TOIM08,0.32)" [6] "Eläinten kasvattaminen, hoitaminen (TOIM07,0.31)" [7] "Taloudellisten asioiden hoitaminen (velat, lainat, sijoitukset jne.) (TOIM02,0.3)" $ACT3 [1] "Lepääminen, nukkuminen (TOIM10,0.62)" [2] "Suunnittelematon toiminta/oleskelu (ilman aikatauluja ja selkeitä tavoitteita) (TOIM11,0.6)" [3] "Kirjojen lukeminen, radion, television, internetin seuraaminen (TOIM16,0.47)" [4] "Kotitalouden hoitaminen (ruuanlaitto, siivous jne.) (TOIM01,0.34)" [5] "Nautiskelu, juhliminen, huvitilaisuudet (TOIM13,0.32)" $ACT4 [1] "Retkeily ja muu luonnossa liikkuminen (TOIM06,0.59)" [2] "Urheilu ja liikunta (TOIM20,0.54)" [3] "Kalastus, metsästys, marjanpoiminta, viljely ym. (TOIM04,0.35)" [4] "Taiteet ja kulttuuri (musiikki, näytelmät, valokuvaus, kuvataiteet jne.) (TOIM18,0.35)" $ACT5 [1] "Ihmissuhteiden, sosiaalisten verkostojen ylläpito ja luominen (TOIM12,0.59)" [2] "Ihmisten auttaminen ja hoitaminen (TOIM09,0.46)" [3] "Nautiskelu, juhliminen, huvitilaisuudet (TOIM13,0.34)" [4] "Kotitalouden hoitaminen (ruuanlaitto, siivous jne.) (TOIM01,0.34)" $ACT6 [1] "Kerho-, seura-, joukkue-, järjestö-, yhdistystoiminta (ei ay-toiminta) (TOIM15,0.67)" [2] "Paikallinen toiminta (TOIM17,0.47)" [3] "Poliittinen ja aatteellinen toiminta (TOIM28,0.33)" [4] "Ammattiyhdistystoiminta (ay) (TOIM14,0.3)" $HUONO_SOPIVUUS [1] "Taloudellisten asioiden hoitaminen (velat, lainat, sijoitukset jne.) (TOIM02,0.054)" [2] "Nautiskelu, juhliminen, huvitilaisuudet (TOIM13,0.071)" [3] "Kotitalouden hoitaminen (ruuanlaitto, siivous jne.) (TOIM01,0.088)" > summary(m1 <- lm(ELTYY ~ 1+ SAIPV + ACT1 + ACT2 + ACT3 + ACT4 + ACT5 + ACT6 + + IKATUTK + MIES + ECOCAB1 + TUTKV + LAHTO1 + LAHTO2, data=D)); Call: lm(formula = ELTYY ~ 1 + SAIPV + ACT1 + ACT2 + ACT3 + ACT4 + ACT5 + ACT6 + IKATUTK + MIES + ECOCAB1 + TUTKV + LAHTO1 + LAHTO2, data = D) Residuals: Min 1Q Median 3Q Max -6.0722 -0.5362 0.1429 0.7141 3.3275 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 25.1202595 51.6433896 0.486 0.62673 SAIPV -0.0031470 0.0004798 -6.560 0.0000000000688 *** ACT1 -0.0278671 0.0307627 -0.906 0.36511 ACT2 0.0552001 0.0349623 1.579 0.11453 ACT3 -0.0821492 0.0359172 -2.287 0.02229 * ACT4 0.1232962 0.0358254 3.442 0.00059 *** ACT5 0.1810538 0.0414303 4.370 0.0000130675234 *** ACT6 0.0272000 0.0324710 0.838 0.40232 IKATUTK 0.0220473 0.0075335 2.927 0.00347 ** MIES -0.0277071 0.0659128 -0.420 0.67427 ECOCAB1 0.5047922 0.0278198 18.145 < 0.0000000000000002 *** TUTKV -0.0092243 0.0256884 -0.359 0.71957 LAHTO1 0.1419266 0.0321742 4.411 0.0000108363698 *** LAHTO2 -0.1596475 0.0355631 -4.489 0.0000075654966 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 1.138 on 1966 degrees of freedom (1380 observations deleted due to missingness) Multiple R-squared: 0.2747, Adjusted R-squared: 0.2699 F-statistic: 57.27 on 13 and 1966 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm(SOSVERK ~ 1+ SAIPV + ACT1 + ACT2 + ACT3 + ACT4 + ACT5 + ACT6 + + IKATUTK + MIES + ECOCAB1 + TUTKV + LAHTO1 + LAHTO2, data=D)); Call: lm(formula = SOSVERK ~ 1 + SAIPV + ACT1 + ACT2 + ACT3 + ACT4 + ACT5 + ACT6 + IKATUTK + MIES + ECOCAB1 + TUTKV + LAHTO1 + LAHTO2, data = D) Residuals: Min 1Q Median 3Q Max -20.34 -6.10 -2.64 1.55 382.89 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1289.1597867 758.5244876 1.700 0.089370 . SAIPV 0.0004052 0.0070660 0.057 0.954278 ACT1 1.5555703 0.4519417 3.442 0.000589 *** ACT2 0.2215700 0.5131636 0.432 0.665954 ACT3 -1.9907976 0.5264700 -3.781 0.000161 *** ACT4 0.7955102 0.5261564 1.512 0.130712 ACT5 2.5039826 0.6078640 4.119 0.00003956492929 *** ACT6 3.2999499 0.4762745 6.929 0.00000000000573 *** IKATUTK 0.0363421 0.1103825 0.329 0.742011 MIES 1.5016979 0.9671307 1.553 0.120646 ECOCAB1 0.7345070 0.4072726 1.803 0.071465 . TUTKV -0.6377730 0.3772986 -1.690 0.091115 . LAHTO1 0.4287150 0.4727521 0.907 0.364597 LAHTO2 -0.1418776 0.5237076 -0.271 0.786489 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 16.76 on 1979 degrees of freedom (1367 observations deleted due to missingness) Multiple R-squared: 0.06264, Adjusted R-squared: 0.05648 F-statistic: 10.17 on 13 and 1979 DF, p-value: < 0.00000000000000022 > ################# > #### ¦ R CUR+1,K> > ##### > summary(m1 <- lm(SOSVERK ~ 1 + MIES + IKATUTK + ECOCAB1 + SAIPV, data=D)); Call: lm(formula = SOSVERK ~ 1 + MIES + IKATUTK + ECOCAB1 + SAIPV, data = D) Residuals: Min 1Q Median 3Q Max -12.42 -6.39 -3.93 0.60 389.09 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.120135 7.027529 -0.302 0.7629 MIES 1.083046 0.848475 1.276 0.2019 IKATUTK 0.180083 0.109278 1.648 0.0995 . ECOCAB1 0.882787 0.405388 2.178 0.0296 * SAIPV -0.003669 0.007156 -0.513 0.6082 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 17.21 on 1988 degrees of freedom (1367 observations deleted due to missingness) Multiple R-squared: 0.007015, Adjusted R-squared: 0.005017 F-statistic: 3.511 on 4 and 1988 DF, p-value: 0.007292 > summary(m1 <- lm(SOSVERK ~ 1 + MIES + IKATUTK + ECOCAB1 + SAIPV + ASUM01, data=D)); Call: lm(formula = SOSVERK ~ 1 + MIES + IKATUTK + ECOCAB1 + SAIPV + ASUM01, data = D) Residuals: Min 1Q Median 3Q Max -11.166 -5.599 -3.278 1.081 288.950 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.405739 8.303639 0.049 0.9610 MIES 0.678611 0.924701 0.734 0.4632 IKATUTK 0.132230 0.128800 1.027 0.3048 ECOCAB1 0.945459 0.439264 2.152 0.0316 * SAIPV 0.003105 0.007949 0.391 0.6961 ASUM01 -0.374534 1.177087 -0.318 0.7504 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 13.39 on 1016 degrees of freedom (2338 observations deleted due to missingness) Multiple R-squared: 0.007669, Adjusted R-squared: 0.002786 F-statistic: 1.57 on 5 and 1016 DF, p-value: 0.1657 > ### Työnkuvat > summary(m1 <- lm( JOB1 ~ 1 + LAHTO1 + LAHTO2 + MIES + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = JOB1 ~ 1 + LAHTO1 + LAHTO2 + MIES + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -1.4073 -0.5175 -0.2085 0.3756 4.0612 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.539658 0.103138 5.232 0.000000178 *** LAHTO1 0.052603 0.016605 3.168 0.001549 ** LAHTO2 0.057355 0.018219 3.148 0.001659 ** MIES -0.479368 0.028322 -16.926 < 0.0000000000000002 *** AIKA -0.001674 0.013177 -0.127 0.898901 DURURA -0.008247 0.002343 -3.520 0.000438 *** EDUCI 0.033732 0.009731 3.466 0.000535 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7468 on 3238 degrees of freedom (115 observations deleted due to missingness) Multiple R-squared: 0.09409, Adjusted R-squared: 0.09241 F-statistic: 56.05 on 6 and 3238 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( JOB2 ~ 1 + LAHTO1 + LAHTO2 + MIES + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = JOB2 ~ 1 + LAHTO1 + LAHTO2 + MIES + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -1.9783 -0.5887 -0.0770 0.4474 3.2583 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.348338 0.101856 -3.420 0.000634 *** LAHTO1 0.030772 0.016398 1.877 0.060668 . LAHTO2 0.032953 0.017993 1.831 0.067128 . MIES 0.482285 0.027970 17.243 < 0.0000000000000002 *** AIKA 0.011314 0.013013 0.869 0.384691 DURURA -0.003736 0.002314 -1.614 0.106517 EDUCI 0.057821 0.009610 6.016 0.00000000198 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7375 on 3238 degrees of freedom (115 observations deleted due to missingness) Multiple R-squared: 0.1132, Adjusted R-squared: 0.1116 F-statistic: 68.89 on 6 and 3238 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( JOB3 ~ 1 + LAHTO1 + LAHTO2 + MIES + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = JOB3 ~ 1 + LAHTO1 + LAHTO2 + MIES + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -2.8132 -0.4063 0.0215 0.3469 3.5786 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.653683 0.092343 -7.079 0.00000000000177 *** LAHTO1 0.002117 0.014867 0.142 0.887 LAHTO2 0.014127 0.016312 0.866 0.387 MIES 0.893469 0.025357 35.235 < 0.0000000000000002 *** AIKA -0.006367 0.011798 -0.540 0.589 DURURA 0.001814 0.002098 0.865 0.387 EDUCI 0.003753 0.008713 0.431 0.667 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.6686 on 3238 degrees of freedom (115 observations deleted due to missingness) Multiple R-squared: 0.292, Adjusted R-squared: 0.2907 F-statistic: 222.6 on 6 and 3238 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( JOB4 ~ 1 + LAHTO1 + LAHTO2 + MIES + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = JOB4 ~ 1 + LAHTO1 + LAHTO2 + MIES + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -1.8699 -0.7899 -0.1107 0.5260 3.1149 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.121076 0.134760 -0.898 0.3690 LAHTO1 -0.038969 0.021696 -1.796 0.0726 . LAHTO2 0.120087 0.023805 5.045 0.00000048 *** MIES 0.056347 0.037005 1.523 0.1279 AIKA 0.018763 0.017217 1.090 0.2759 DURURA 0.013697 0.003062 4.474 0.00000795 *** EDUCI -0.161266 0.012715 -12.683 < 0.0000000000000002 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.9758 on 3238 degrees of freedom (115 observations deleted due to missingness) Multiple R-squared: 0.06505, Adjusted R-squared: 0.06332 F-statistic: 37.55 on 6 and 3238 DF, p-value: < 0.00000000000000022 > #### Aktiviteetit > print("Aktiviteetit:"); [1] "Aktiviteetit:" > summary(m1 <- lm( ACT1 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT1 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -1.5565 -0.6851 -0.1065 0.5124 3.6719 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.128076 0.318138 -0.403 0.6873 LAHTO1 0.007248 0.022193 0.327 0.7440 LAHTO2 0.042546 0.023136 1.839 0.0660 . ECOCAB1 -0.044984 0.018372 -2.449 0.0144 * MIES 0.048479 0.038507 1.259 0.2082 IKATUTK 0.004878 0.005101 0.956 0.3390 AIKA -0.030887 0.017385 -1.777 0.0757 . DURURA -0.004793 0.003283 -1.460 0.1445 EDUCI 0.050946 0.013003 3.918 0.0000918 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.8401 on 2348 degrees of freedom (1003 observations deleted due to missingness) Multiple R-squared: 0.01622, Adjusted R-squared: 0.01287 F-statistic: 4.84 on 8 and 2348 DF, p-value: 0.000006201 > summary(m1 <- lm( ACT2 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT2 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -2.50686 -0.53665 0.00134 0.53169 2.50314 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.596497 0.287661 2.074 0.0382 * LAHTO1 0.082579 0.020067 4.115 0.00004 *** LAHTO2 -0.008199 0.020919 -0.392 0.6952 ECOCAB1 -0.022819 0.016612 -1.374 0.1697 MIES 0.415459 0.034818 11.932 < 0.0000000000000002 *** IKATUTK -0.009034 0.004612 -1.959 0.0503 . AIKA 0.037649 0.015719 2.395 0.0167 * DURURA -0.004687 0.002969 -1.579 0.1146 EDUCI -0.029090 0.011758 -2.474 0.0134 * --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7596 on 2348 degrees of freedom (1003 observations deleted due to missingness) Multiple R-squared: 0.06493, Adjusted R-squared: 0.06174 F-statistic: 20.38 on 8 and 2348 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT3 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT3 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -3.00989 -0.40254 0.07225 0.48352 2.18296 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.679321 0.269956 6.221 0.000000000584 *** LAHTO1 0.046510 0.018832 2.470 0.0136 * LAHTO2 0.027794 0.019632 1.416 0.1570 ECOCAB1 0.013852 0.015589 0.889 0.3743 MIES -0.341546 0.032675 -10.453 < 0.0000000000000002 *** IKATUTK -0.017458 0.004328 -4.034 0.000056684076 *** AIKA 0.028065 0.014752 1.903 0.0572 . DURURA -0.006565 0.002786 -2.356 0.0185 * EDUCI -0.010414 0.011034 -0.944 0.3453 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7128 on 2348 degrees of freedom (1003 observations deleted due to missingness) Multiple R-squared: 0.07238, Adjusted R-squared: 0.06922 F-statistic: 22.9 on 8 and 2348 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT4 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT4 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -2.60400 -0.48860 0.02843 0.52680 2.05376 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.0230742 0.2792560 -3.664 0.000254 *** LAHTO1 0.0449021 0.0194805 2.305 0.021255 * LAHTO2 0.0009565 0.0203081 0.047 0.962438 ECOCAB1 0.1356053 0.0161262 8.409 < 0.0000000000000002 *** MIES -0.3524839 0.0338005 -10.428 < 0.0000000000000002 *** IKATUTK 0.0229111 0.0044773 5.117 0.000000335 *** AIKA -0.0077216 0.0152598 -0.506 0.612899 DURURA -0.0038916 0.0028820 -1.350 0.177038 EDUCI -0.0049212 0.0114140 -0.431 0.666395 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7374 on 2348 degrees of freedom (1003 observations deleted due to missingness) Multiple R-squared: 0.08211, Adjusted R-squared: 0.07898 F-statistic: 26.25 on 8 and 2348 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT5 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT5 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -2.41509 -0.40025 0.01796 0.43418 2.38483 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.020029 0.241968 4.216 0.00002586015 *** LAHTO1 0.015869 0.016879 0.940 0.3472 LAHTO2 -0.015482 0.017596 -0.880 0.3790 ECOCAB1 0.082613 0.013973 5.912 0.00000000386 *** MIES -0.578284 0.029287 -19.745 < 0.0000000000000002 *** IKATUTK -0.004802 0.003879 -1.238 0.2159 AIKA -0.003369 0.013222 -0.255 0.7989 DURURA -0.004272 0.002497 -1.711 0.0872 . EDUCI -0.045167 0.009890 -4.567 0.00000520467 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.6389 on 2348 degrees of freedom (1003 observations deleted due to missingness) Multiple R-squared: 0.1771, Adjusted R-squared: 0.1743 F-statistic: 63.15 on 8 and 2348 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT6 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT6 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -2.6216 -0.5840 -0.1014 0.5339 2.9937 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.183992 0.305958 -7.138 0.00000000000125 *** LAHTO1 0.030571 0.021343 1.432 0.1522 LAHTO2 -0.044841 0.022250 -2.015 0.0440 * ECOCAB1 -0.011304 0.017668 -0.640 0.5224 MIES 0.147096 0.037032 3.972 0.00007339301017 *** IKATUTK 0.031534 0.004905 6.428 0.00000000015571 *** AIKA -0.030709 0.016719 -1.837 0.0664 . DURURA 0.002081 0.003158 0.659 0.5099 EDUCI -0.001539 0.012505 -0.123 0.9021 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.8079 on 2348 degrees of freedom (1003 observations deleted due to missingness) Multiple R-squared: 0.04047, Adjusted R-squared: 0.03721 F-statistic: 12.38 on 8 and 2348 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT1 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT1 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -1.5501 -0.6885 -0.0840 0.5135 3.6897 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.27304984 0.36323596 -0.752 0.4523 LAHTO1 0.00110944 0.02424918 0.046 0.9635 LAHTO2 0.02305715 0.02631678 0.876 0.3811 ECOCAB1 -0.05725015 0.02032642 -2.817 0.0049 ** SAIPV -0.00001601 0.00035519 -0.045 0.9640 MIES 0.02506274 0.04278019 0.586 0.5580 IKATUTK 0.00499577 0.00573442 0.871 0.3838 AIKA -0.03034446 0.01903677 -1.594 0.1111 DURURA -0.00168394 0.00362215 -0.465 0.6421 EDUCI 0.06254425 0.01422567 4.397 0.0000116 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.8376 on 1943 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.01711, Adjusted R-squared: 0.01256 F-statistic: 3.758 on 9 and 1943 DF, p-value: 0.0001052 > summary(m1 <- lm( ACT2 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT2 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -2.3884 -0.5258 0.0066 0.5315 2.4847 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.5094149 0.3260013 1.563 0.118306 LAHTO1 0.0751512 0.0217634 3.453 0.000566 *** LAHTO2 0.0019203 0.0236191 0.081 0.935209 ECOCAB1 -0.0188159 0.0182428 -1.031 0.302476 SAIPV -0.0004467 0.0003188 -1.401 0.161325 MIES 0.4021348 0.0383949 10.474 < 0.0000000000000002 *** IKATUTK -0.0057089 0.0051466 -1.109 0.267457 AIKA 0.0319799 0.0170853 1.872 0.061388 . DURURA -0.0066346 0.0032508 -2.041 0.041396 * EDUCI -0.0386434 0.0127674 -3.027 0.002505 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7518 on 1943 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.06183, Adjusted R-squared: 0.05749 F-statistic: 14.23 on 9 and 1943 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT3 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT3 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -2.98392 -0.41509 0.07503 0.47941 2.15485 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.5997478 0.3119229 5.129 0.000000321 *** LAHTO1 0.0452241 0.0208236 2.172 0.02999 * LAHTO2 0.0337424 0.0225991 1.493 0.13558 ECOCAB1 0.0323165 0.0174550 1.851 0.06426 . SAIPV 0.0003692 0.0003050 1.210 0.22629 MIES -0.3140417 0.0367368 -8.548 < 0.0000000000000002 *** IKATUTK -0.0154424 0.0049243 -3.136 0.00174 ** AIKA 0.0189670 0.0163475 1.160 0.24609 DURURA -0.0077342 0.0031105 -2.487 0.01298 * EDUCI -0.0148292 0.0122161 -1.214 0.22493 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7193 on 1943 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.06648, Adjusted R-squared: 0.06216 F-statistic: 15.37 on 9 and 1943 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT4 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT4 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -2.55631 -0.47910 0.02527 0.50918 1.97001 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.5918300 0.3156761 -1.875 0.06097 . LAHTO1 0.0414222 0.0210741 1.966 0.04949 * LAHTO2 -0.0020833 0.0228710 -0.091 0.92743 ECOCAB1 0.1079319 0.0176650 6.110 0.0000000012 *** SAIPV -0.0014307 0.0003087 -4.635 0.0000038091 *** MIES -0.3446928 0.0371788 -9.271 < 0.0000000000000002 *** IKATUTK 0.0157551 0.0049836 3.161 0.00159 ** AIKA -0.0050558 0.0165442 -0.306 0.75995 DURURA -0.0034960 0.0031479 -1.111 0.26688 EDUCI 0.0022140 0.0123630 0.179 0.85789 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.728 on 1943 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.08562, Adjusted R-squared: 0.08138 F-statistic: 20.21 on 9 and 1943 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT5 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT5 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -2.22130 -0.40414 0.01335 0.42769 2.40811 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.2011733 0.2753904 4.362 0.000013581 *** LAHTO1 0.0226674 0.0183847 1.233 0.21775 LAHTO2 -0.0234605 0.0199523 -1.176 0.23981 ECOCAB1 0.0787342 0.0154107 5.109 0.000000355 *** SAIPV -0.0006304 0.0002693 -2.341 0.01934 * MIES -0.5668735 0.0324342 -17.478 < 0.0000000000000002 *** IKATUTK -0.0078376 0.0043476 -1.803 0.07158 . AIKA -0.0069835 0.0144329 -0.484 0.62854 DURURA -0.0041437 0.0027462 -1.509 0.13149 EDUCI -0.0409729 0.0107853 -3.799 0.00015 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.6351 on 1943 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.1745, Adjusted R-squared: 0.1707 F-statistic: 45.64 on 9 and 1943 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT6 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data=D)); Call: lm(formula = ACT6 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI, data = D) Residuals: Min 1Q Median 3Q Max -2.62826 -0.58931 -0.09457 0.52816 2.97966 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.9703554 0.3478584 -5.664 0.000000017 *** LAHTO1 0.0276249 0.0232226 1.190 0.23436 LAHTO2 -0.0460737 0.0252027 -1.828 0.06768 . ECOCAB1 -0.0095834 0.0194659 -0.492 0.62255 SAIPV 0.0001240 0.0003402 0.364 0.71554 MIES 0.1327165 0.0409691 3.239 0.00122 ** IKATUTK 0.0284338 0.0054916 5.178 0.000000248 *** AIKA -0.0268283 0.0182308 -1.472 0.14129 DURURA 0.0029617 0.0034688 0.854 0.39332 EDUCI -0.0113648 0.0136234 -0.834 0.40426 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.8022 on 1943 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.03541, Adjusted R-squared: 0.03095 F-statistic: 7.926 on 9 and 1943 DF, p-value: 0.00000000001402 > KM_ACT; $ACT1 [1] "Kansainvälinen toiminta (TOIM24,0.83)" [2] "Filosofiset, yhteiskunnalliset ja elämäntarkoitukseen liittyvät kysymykset (TOIM26,0.79)" [3] "Muiden opettaminen, kouluttaminen, valmentaminen jne. (TOIM25,0.75)" [4] "Tieteet ja uusi teknologia (TOIM23,0.74)" [5] "Poliittinen ja aatteellinen toiminta (TOIM28,0.74)" [6] "Kirjoittaminen, muu luova itseilmaisu (TOIM19,0.69)" [7] "Estetiikka ja kauneus (TOIM22,0.69)" [8] "Opiskelu, kouluttautuminen (TOIM21,0.67)" [9] "Ammattiyhdistystoiminta (ay) (TOIM14,0.62)" [10] "Paikallinen toiminta (TOIM17,0.56)" $ACT2 [1] "Kalastus, metsästys, marjanpoiminta, viljely ym. (TOIM04,0.62)" [2] "Luonnonhoito (maa, metsä/kasvit, vesi, ilma) (TOIM05,0.58)" [3] "Rakentaminen ja korjaus (tavarat, asunnot, välineet jne. , myös hankinta) (TOIM03,0.53)" [4] "Retkeily ja muu luonnossa liikkuminen (TOIM06,0.37)" [5] "Rahallisia tuloja/palkkioita tuottava toiminta tai työnteko (TOIM08,0.32)" [6] "Eläinten kasvattaminen, hoitaminen (TOIM07,0.31)" [7] "Taloudellisten asioiden hoitaminen (velat, lainat, sijoitukset jne.) (TOIM02,0.3)" $ACT3 [1] "Lepääminen, nukkuminen (TOIM10,0.62)" [2] "Suunnittelematon toiminta/oleskelu (ilman aikatauluja ja selkeitä tavoitteita) (TOIM11,0.6)" [3] "Kirjojen lukeminen, radion, television, internetin seuraaminen (TOIM16,0.47)" [4] "Kotitalouden hoitaminen (ruuanlaitto, siivous jne.) (TOIM01,0.34)" [5] "Nautiskelu, juhliminen, huvitilaisuudet (TOIM13,0.32)" $ACT4 [1] "Retkeily ja muu luonnossa liikkuminen (TOIM06,0.59)" [2] "Urheilu ja liikunta (TOIM20,0.54)" [3] "Kalastus, metsästys, marjanpoiminta, viljely ym. (TOIM04,0.35)" [4] "Taiteet ja kulttuuri (musiikki, näytelmät, valokuvaus, kuvataiteet jne.) (TOIM18,0.35)" $ACT5 [1] "Ihmissuhteiden, sosiaalisten verkostojen ylläpito ja luominen (TOIM12,0.59)" [2] "Ihmisten auttaminen ja hoitaminen (TOIM09,0.46)" [3] "Nautiskelu, juhliminen, huvitilaisuudet (TOIM13,0.34)" [4] "Kotitalouden hoitaminen (ruuanlaitto, siivous jne.) (TOIM01,0.34)" $ACT6 [1] "Kerho-, seura-, joukkue-, järjestö-, yhdistystoiminta (ei ay-toiminta) (TOIM15,0.67)" [2] "Paikallinen toiminta (TOIM17,0.47)" [3] "Poliittinen ja aatteellinen toiminta (TOIM28,0.33)" [4] "Ammattiyhdistystoiminta (ay) (TOIM14,0.3)" $HUONO_SOPIVUUS [1] "Taloudellisten asioiden hoitaminen (velat, lainat, sijoitukset jne.) (TOIM02,0.054)" [2] "Nautiskelu, juhliminen, huvitilaisuudet (TOIM13,0.071)" [3] "Kotitalouden hoitaminen (ruuanlaitto, siivous jne.) (TOIM01,0.088)" > summary(m1 <- lm( ACT1 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data=D)); Call: lm(formula = ACT1 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data = D) Residuals: Min 1Q Median 3Q Max -2.5568 -0.6764 -0.0876 0.5108 3.6029 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.277534362 0.361661661 -0.767 0.44294 LAHTO1 -0.000922542 0.024148737 -0.038 0.96953 LAHTO2 0.024668503 0.026205368 0.941 0.34664 ECOCAB1 -0.061399432 0.020261898 -3.030 0.00248 ** SAIPV -0.000005722 0.000353659 -0.016 0.98709 MIES 0.019901743 0.042611992 0.467 0.64052 IKATUTK 0.004565945 0.005710438 0.800 0.42405 AIKA -0.026549090 0.018975316 -1.399 0.16193 DURURA -0.002086948 0.003607689 -0.578 0.56301 EDUCI 0.062744577 0.014164032 4.430 0.00000995 *** SOSVERK 0.004627353 0.001091613 4.239 0.00002350 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.834 on 1942 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.02612, Adjusted R-squared: 0.02111 F-statistic: 5.209 on 10 and 1942 DF, p-value: 0.0000001406 > summary(m1 <- lm( ACT2 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data=D)); Call: lm(formula = ACT2 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data = D) Residuals: Min 1Q Median 3Q Max -2.38641 -0.52670 0.00574 0.53396 2.48684 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.5087344 0.3260439 1.560 0.118846 LAHTO1 0.0748428 0.0217705 3.438 0.000599 *** LAHTO2 0.0021648 0.0236246 0.092 0.926998 ECOCAB1 -0.0194455 0.0182664 -1.065 0.287213 SAIPV -0.0004451 0.0003188 -1.396 0.162857 MIES 0.4013516 0.0384154 10.448 < 0.0000000000000002 *** IKATUTK -0.0057741 0.0051481 -1.122 0.262167 AIKA 0.0325558 0.0171066 1.903 0.057173 . DURURA -0.0066958 0.0032524 -2.059 0.039653 * EDUCI -0.0386130 0.0127691 -3.024 0.002528 ** SOSVERK 0.0007022 0.0009841 0.714 0.475610 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7519 on 1942 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.06208, Adjusted R-squared: 0.05725 F-statistic: 12.85 on 10 and 1942 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT3 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data=D)); Call: lm(formula = ACT3 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data = D) Residuals: Min 1Q Median 3Q Max -2.90567 -0.40511 0.07639 0.48048 2.13891 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.6031271 0.3109013 5.156 0.000000277 *** LAHTO1 0.0467553 0.0207594 2.252 0.024418 * LAHTO2 0.0325282 0.0225274 1.444 0.148917 ECOCAB1 0.0354432 0.0174181 2.035 0.042002 * SAIPV 0.0003614 0.0003040 1.189 0.234659 MIES -0.3101526 0.0366313 -8.467 < 0.0000000000000002 *** IKATUTK -0.0151185 0.0049090 -3.080 0.002101 ** AIKA 0.0161071 0.0163121 0.987 0.323554 DURURA -0.0074305 0.0031013 -2.396 0.016673 * EDUCI -0.0149802 0.0121761 -1.230 0.218734 SOSVERK -0.0034869 0.0009384 -3.716 0.000208 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7169 on 1942 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.07307, Adjusted R-squared: 0.0683 F-statistic: 15.31 on 10 and 1942 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT4 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data=D)); Call: lm(formula = ACT4 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data = D) Residuals: Min 1Q Median 3Q Max -2.54664 -0.48202 0.01411 0.50574 1.97819 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.5933546 0.3155371 -1.880 0.06020 . LAHTO1 0.0407314 0.0210689 1.933 0.05335 . LAHTO2 -0.0015355 0.0228633 -0.067 0.94646 ECOCAB1 0.1065213 0.0176778 6.026 0.00000000201 *** SAIPV -0.0014272 0.0003086 -4.625 0.00000398383 *** MIES -0.3464474 0.0371775 -9.319 < 0.0000000000000002 *** IKATUTK 0.0156090 0.0049822 3.133 0.00176 ** AIKA -0.0037655 0.0165553 -0.227 0.82010 DURURA -0.0036330 0.0031476 -1.154 0.24855 EDUCI 0.0022821 0.0123576 0.185 0.85351 SOSVERK 0.0015731 0.0009524 1.652 0.09874 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7276 on 1942 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.0869, Adjusted R-squared: 0.0822 F-statistic: 18.48 on 10 and 1942 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT5 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data=D)); Call: lm(formula = ACT5 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data = D) Residuals: Min 1Q Median 3Q Max -2.20255 -0.39394 0.02001 0.42648 2.41247 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.1968809 0.2734424 4.377 0.0000126667 *** LAHTO1 0.0207224 0.0182582 1.135 0.256530 LAHTO2 -0.0219182 0.0198132 -1.106 0.268758 ECOCAB1 0.0747627 0.0153195 4.880 0.0000011460 *** SAIPV -0.0006205 0.0002674 -2.321 0.020411 * MIES -0.5718135 0.0322178 -17.748 < 0.0000000000000002 *** IKATUTK -0.0082490 0.0043175 -1.911 0.056203 . AIKA -0.0033507 0.0143467 -0.234 0.815359 DURURA -0.0045294 0.0027277 -1.661 0.096965 . EDUCI -0.0407811 0.0107090 -3.808 0.000144 *** SOSVERK 0.0044292 0.0008253 5.367 0.0000000899 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.6306 on 1942 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.1866, Adjusted R-squared: 0.1824 F-statistic: 44.54 on 10 and 1942 DF, p-value: < 0.00000000000000022 > summary(m1 <- lm( ACT6 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data=D)); Call: lm(formula = ACT6 ~ 1 + LAHTO1 + LAHTO2 + ECOCAB1 + SAIPV + MIES + IKATUTK + AIKA + DURURA + EDUCI + SOSVERK, data = D) Residuals: Min 1Q Median 3Q Max -2.66931 -0.57296 -0.08616 0.52874 2.93377 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.9781406 0.3426679 -5.773 0.0000000090579981 *** LAHTO1 0.0240973 0.0228805 1.053 0.2924 LAHTO2 -0.0432763 0.0248291 -1.743 0.0815 . ECOCAB1 -0.0167867 0.0191978 -0.874 0.3820 SAIPV 0.0001418 0.0003351 0.423 0.6721 MIES 0.1237569 0.0403741 3.065 0.0022 ** IKATUTK 0.0276876 0.0054105 5.117 0.0000003404460187 *** AIKA -0.0202394 0.0179788 -1.126 0.2604 DURURA 0.0022620 0.0034182 0.662 0.5082 EDUCI -0.0110171 0.0134202 -0.821 0.4118 SOSVERK 0.0080332 0.0010343 7.767 0.0000000000000129 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.7902 on 1942 degrees of freedom (1407 observations deleted due to missingness) Multiple R-squared: 0.06447, Adjusted R-squared: 0.05966 F-statistic: 13.38 on 10 and 1942 DF, p-value: < 0.00000000000000022 > ##### > > sink();