Suppose you estimate the individual-level model below, regressing the average hours slept per week (sleep) on age (age), education (educ), average hours worked per week (work), and income (inc). In the sample, n = 706, and the R2 from the regression is 0.1141. sleep=β0+β1age+β2educ+β3work+β4inc+u s l e e p = β 0 + β 1 a g e + β 2 e d u c + β 3 w o r k + β 4 i n c + u The
Suppose you estimate the individual-level model below, regressing the average hours slept per week (sleep) on age (age), education (educ), average hours worked per week (work), and income (inc). In the sample, n = 706, and the R2 from the regression is 0.1141. sleep=β0+β1age+β2educ+β3work+β4inc+u s l e e p = β 0 + β 1 a g e + β 2 e d u c + β 3 w o r k + β 4 i n c + u The regression results indicate that age and educ are not statistically significant at standard levels. You then run the regression without age and educ using the same 706 individuals, and the R2 from that regression is 0.1049. Therefore, the F-test for H0: β1=β2=0 β 1 = β 2 = 0 indicates that one can reject H0 at what standard level(s) of significance? Question 5 options: a) 1%, 5%, and 10% b) 5% and 10% only c) 10% only d) Not enough information to determine e) None of the above
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