The Following Data Are Available for a Simple Linear Regression

Multiple Choice

The following data are available for a simple linear regression analysis attempting to link hours of training (x) to hourly output (y) . In applying the least squares criterion, the slope (b) and the intercept (a) for the best-fitting line are b = 2.4 and a = 3.6.Set up a hypothesis test to determine whether you can reject the hypothesis that the population slope, β, is 0 at the 5% significance level.Compute the value of the appropriate sample test statistic, t_stat, and use it to reach the proper conclusion.

A) Since t_stat is outside the critical values of ±3.213, we can reject the β=0 null hypothesis.
B) Since t_stat is between the critical values of ±3.213, we can't reject the β=0 null hypothesis.
C) Since t_stat is outside the critical values of ±4.403, we can reject the β=0 null hypothesis.
D) Since t_stat is between the critical values of ±4.403, we can't reject the β=0 null hypothesis.