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In a study involving 400 different companies, the relationship between total corporate earnings ((Y_i)) and the average tenure of experience for each worker ((X_i)) is modeled using the following regression equation: [Y_i = \beta_1 + \beta_2 * X_i + \epsilon_i] where (i) ranges from 1 to 400. The goal of the research is to test the joint null hypothesis that both (\beta_1 = 0) and (\beta_2 = 0) at a 95% confidence level. The p-value derived from the t-statistic for (\beta_1) is 0.07, the p-value for the t-statistic for (\beta_2) is 0.06, and the p-value from the F-statistic for the overall model is 0.045.*_
A
The analyst can reject the joint null hypothesis because each β is different from 0 at the 95% confidence level.
B
The analyst cannot reject the joint null hypothesis because neither β is different from 0 at the 95% confidence level.
C
The analyst can reject the joint null hypothesis because the F-statistic is significant at the 95% confidence level.
D
The analyst cannot reject the joint null hypothesis because the F-statistic is not significant at the 95% confidence level.