STA221H1 Lecture Notes - Lecture 26: Summary Statistics, Scatter Plot

• School: UTSG
• Department: Statistical Sciences
• Course: STA221H1
• Professor: Augustin Vukov

Document Summary

> # read image data le in r and save it to image for attachment. > image # change the variable name desire with your lastname. Call: lm(formula = desire_aslemand ~ bodysat + impreal + bodysat * impreal) Error t value pr(>|t|) (intercept) 11. 89719 0. 94783 12. 552 < 2e-16 *** Signif. codes: 0 ***" 0. 001 **" 0. 01 *" 0. 05 . " 0. 1 " 1. Residual standard error: 2. 28 on 166 degrees of freedom. F-statistic: 51. 38 on 3 and 166 df, p-value: < 2. 2e-16. > # read infect data le in r and save it to infect for attachment. > infect # see the variable names in this data. > # change the variable name incidence with your lastname. > # fit a second-order model with a curvature term. Call: lm(formula = aslemand_incidence ~ estimate + estimate. square)