a) This sounds like homework. This is not a homework support forum. b) If it is not homework, you should take one or more classes on statistics. Your questions are more about theory than R and this is not a statistics theory mailing list.
c) You ask questions about the use of your data, but you provide no data or reproducible, self-contained R code, so even if it is not homework you are not providing us with a sporting chance at understanding your questions. Read the Posting Guide. --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity. Vignesh Prajapati <vign...@tatvic.com> wrote: >Hello folks, > >I am on learning phase of R. I have developed Regression Model over six >predictor variables. while development, i found my all data are not >very >linear. So, may because of this the prediction of my model is not >exact. > > Here is the summary of model : >Call: >lm(formula = y ~ x_1 + x_2 + x_3 + x_4 + x_5 + x_6) > >Residuals: > Min 1Q Median 3Q Max >-125.302 -26.210 0.702 26.261 111.511 > >Coefficients: > Estimate Std. Error t value Pr(>|t|) >(Intercept) 48.62944 0.27999 173.684 < 2e-16 *** >x_1 -0.67831 0.08053 -8.423 < 2e-16 *** >x_2 0.07476 0.49578 0.151 0.880143 >x_3 -0.22981 0.06489 -3.541 0.000399 *** >x_4 0.01845 0.09070 0.203 0.838814 >x_5 3.76952 0.67006 5.626 1.87e-08 *** >x_6 0.07698 0.01565 4.919 8.75e-07 *** >--- >Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > >Residual standard error: 33.76 on 19710 degrees of freedom >Multiple R-squared: 0.006298, Adjusted R-squared: 0.005995 >F-statistic: 20.82 on 6 and 19710 DF, p-value: < 2.2e-16 > >I have certain questions with this model > >1. Any way to improve the accuracy of this model? >2.Which of the value is most useful among Residual standard >error,degrees >of freedom, Multiple R-squared, Adjusted R-squared, F-statisti, >p-value >for choosing best model from numbers of model ? >3.Is it appropriate to use polynomial model with these data? >4.In case when i am using polynomial model for regression, which degree >is >most appropriate for it? > > >Thanks >Vignesh > > >------------------------------------------------------------------------ > >______________________________________________ >R-help@r-project.org mailing list >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide >http://www.R-project.org/posting-guide.html >and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.