Call: lm(formula = y ~ x) Residuals: Min 1Q Median 3Q Max -2.365 -0.4036 0.3208 0.6613 1.172 Coefficients: Value Std. Error t value Pr(>|t|) (Intercept) -0.7861 0.5418 -1.4509 0.1849 x 0.6850 0.1802 3.8008 0.0052 Residual standard error: 1.083 on 8 degrees of freedom Multiple R-Squared: 0.6436 F-statistic: 14.45 on 1 and 8 degrees of freedom, the p-value is 0.005231 Correlation of Coefficients: (Intercept) x -0.7751I hope you will find that helpful in doing Exercise 10.2/11 and in showing you what to do for 10.1/6 and 10.3/2. Be sure to look at the function predict.lm() (within S-Plus try typing "?predict.lm" or "help(predict.lm)").