The F-statistic is equal to the ratio of the mean squared regression (MSR) to the mean squared error (MSE).

RSS = SST – SSE = 430 – 170 = 260

MSR = 260 / 5 = 52

MSE = 170 / (48 – 5 – 1) = 4.05

F = 52 / 4.05 = 12.84

The critical F-value for 5 and 42 degrees of freedom at a 5% significance level is approximately 2.44. The critical F-value for 5 and 42 degrees of freedom at a 2.5% significance level is approximately 2.89. Therefore, we can reject the null hypothesis at either level of significance and conclude that at least one of the five independent variables explains a significant portion of the variation of the dependent variable.