In a study of the performance of a new engine design, the weight of 22 aircrafts (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. t-ratio 37 Depend Variable: Top Speed Variable Coefficient s. e. of Coeff Constant 11.6559 0.3153 Weight 3.47812 R squared = 87.5% R squared {adjusted) = 86.9% S=0.6174 with 22 - 2 = 20 degrees of freedom prob < 0.0001 s 0.0001 11.8 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 an aircraft if its weight is 100 tons? Show your work. (6 points)​