Now that you have looked at the descriptive side of the regression analysis, let's turn to what inferences can be drawn from this analysis. Recall that we have a random sample of 80 countries. For each country we recorded the overall happiness score (out of 10 points) along with the life expectancy (in years).

Call : 1m(formula = Happiness. score ~ Life. expectancy, data = happiness) Residuals : Min 1Q Median 3Q Max -1. 3949 -0. 5823 0. 0187 0. 5864 1.2539 Coefficients: Estimate Std. Error t value Pr (>|t|) (Intercept) -2. 5596 0. 8112 -3. 16 0. 0023 * * Life . expectancy 0. 1228 0. 0123 9.95 1. 6e-15 * * * Signif. codes: 0 '* * *' 0. 001 '**' 0.01 '* ' 0.05 ' . ' 0.1 ' ' 1 Residual standard error: 0. 72 on 78 degrees of freedom Multiple R-squared: 0. 559, Adjusted R-squared: 0.553 F-statistic: 98.9 on 1 and 78 DF, p-value: 1. 6e-15\fResiduals vs Fitted 0.0 1.0 O O O Residuals O. 00 -1.5 O O 149 O O 129 770 4.0 4.5 5.0 5.5 6.0 6.5 Fitted values