Final answer:
The question is asking about the p-values of the f-test and t-test in an advertising problem. The answer explains what these tests are and how they are used, but it cannot determine the exact answer without more information.
Step-by-step explanation:
The question is asking whether the p-values of the f-test of the model and the t-test of the independent coefficient are the same or different. To answer this question, we need to understand what these tests are and how they are used.
F-Test:
The F-test is used to compare the variability between groups to the variability within groups. It is often used to determine if there is a significant difference between the means of two or more groups. The p-value of the F-test represents the probability that the observed difference between groups is due to chance alone.
T-Test:
The t-test is used to compare the means of two groups and determine if there is a significant difference between them. The p-value of the t-test represents the probability that the observed difference between groups is due to chance alone.
Based on this information, the p-values of the f-test and the t-test could be the same or different, depending on the specific context of the advertising problem. Without more information, we cannot determine the exact answer to the question.