Answer: 3.2

The standard error of the estimate is calculated as the square root of the mean square error (MSE). The MSE is derived by dividing the sum of squares error (SSE) by its degrees of freedom, which is (n - 2) for a simple linear regression. Here, MSE = SSE / (n - 2) = 280 / (30 - 2) = 10.0. The standard error of the estimate is then √10 ≈ 3.2. Option A incorrectly represents the F-statistic (MSR/MSE = 25/10 = 2.5), while Option C is the MSE itself (10.0).

Author: LeetQuiz Editorial Team