Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at

\alpha

= 0.05. $Conduct a test to determine if the predictor variables are jointly significant in explaining Earnings at \alpha = 0.05. A) P(F1,18) \ge 74.608, p-value is less than \alpha = 0.05, we reject H0, but jointly significant in explaining earnings. B) P(F1,19) \ge 82.818, p-value is less than \alpha = 0.05, we accept H0, jointly do not explain earnings. C) P(F1,18) \ge 74.608, p-value is less than \alpha = 0.05, we accept H0, but jointly significant in explaining earnings. D) P(F1,19) \ge 82.818, p-value is less than \alpha = 0.05, we reject H0, jointly do not explain earnings.$
A) P(F1,18)

\ge

74.608, p-value is less than

\alpha

= 0.05, we reject H0, but jointly significant in explaining earnings.
B) P(F1,19)

\ge

82.818, p-value is less than

\alpha

= 0.05, we accept H0, jointly do not explain earnings.
C) P(F1,18)

\ge

74.608, p-value is less than

\alpha

= 0.05, we accept H0, but jointly significant in explaining earnings.
D) P(F1,19)

\ge

82.818, p-value is less than

\alpha

= 0.05, we reject H0, jointly do not explain earnings.

Based on the Following Table, What Is the Sample Regression

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