Deleted due to missingness multiple r squared 06986

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Unformatted text preview: pwt) > summary(Davis.model) 15 Call: lm(formula = weight ~ repwt) Residuals: Min 1Q -7.048 -1.868 Median -0.728 3Q Max 0.601 108.705 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 5.3363 3.0369 1.757 0.0806 . repwt 0.9278 0.0453 20.484 <2e-16 *** --Signif. codes: 0 ’***’ 0.001 ’**’ 0.01 ’*’ 0.05 ’.’ 0.1 ’ ’ 1 Residual standard error: 8.419 on 181 degrees of freedom (17 observ. deleted due to missingness) Multiple R-squared: 0.6986, Adj. R-squared: 0.697 F-stat.: 419.6 on 1 and 181 DF, p-value: < 2.2e-16 16 Data Plot > plot(repwt,weight) > abline(Davis.model) > abline(0,1,lty=2) > identify(repwt,weight) # left click near points to be identified # hit ESC in RStudio control panel when done, # or right click in control panel (RStudio??) # or Finish in RStudio graphics panel [1] 12 17 160 q 100 q q qq 40 60 80 weight 120 140 12 qq qq q q qq q qqqqq q qq q qqqq qqqq q q q qq q q qqqqqq qqqq qq q qqq q qqq qqqq q qqqqqqq q qqq qqqqqqqqqq qqqqqq q qqqq q q q qqq q q qqq qqqq q qq qq q qqq qqqqq q q q q q q q q 40 60 80 repwt 18 q qq q q q 100 120 Outlier Treatment > Davis[12,] sex weight height repwt repht 12 F 166 57 56 163 it appears weight and height were interchanged for case 12 can either interchange these 2 values and run regression again or omit case 12 and run regression again or update the regression > Davis.model2 <- update(Davis.model, subset=-12) > summary(Davis.model2) 19 Call: lm(formula = weight ~...
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This note was uploaded on 02/25/2014 for the course STAT 302 taught by Professor Fritz during the Winter '13 term at University of Washington.

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