why say in this case is statistically significant at the 95% confidence level. How to compare?

For a sample of 400 firms, the relationship between corporate revenue (Y_i) and the average years of experiences employee (X_i) is modeled as follows: Y_i = beta_1 + beta_2 X_i + epsilon_i, i -= 1, 2, ..., 400 You wish to test the joint null hypothesis that beta = 0 and beta = 0 at the 95% confidence level. The p-value for the t-statistic for beta_1 is 0.07, and the p-value for the t-statistic for beta_2 is 0.06. The p-value for the F-statistic for the regression is 0.045. Which of the following statements is correct? You can reject the null hypothesis because each p is different from 0 at the 95% confidence level. You cannot reject the null hypothesis because neither p is different from 0 at the 95% confidence level. You can reject the null hypothesis because the F-statistic is significant at the 95% confidence level. You cannot reject the null hypothesis because the F-statistic is not significant at the 95% confidence level. Explanation: The T-test would not be sufficient to test the joint hypothesis. In order to test the joint null hypothesis, examine the F-statistic, which in this case is statistically significant at the 95% confidence level. Thus the null can be rejected