In a study of the performance of a new engine design, the weight of 18 trucks (in tons) and the top speed (in mph) were recorded. A regression line was generated and shown to be an appropriate description of the relationship. The results of the regression analysis are below. Depend Variable: Top Speed Variable Constant Weight Coefficient 3.221 0.5480 s.e. of Coeff 5.076 0.1056 t-ratio 0.63 5.19 prob 0.535 0.000 R squared = 67.7% R squared (adjusted) = 60.4% s = 5.754 with 18 - 2 = 16 degrees of freedom Part A: What is the LSRL based on the analysis provided? Make sure to identify what the variables represent in the context of the problem. (4 points) Part B: What is the predicted value for the top speed of a truck if its weight is 100 tons? Show your work. (6 points)