All changes saved 6. (06.05, 06.06 MC)
Nan
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.
retirm
t-ratio
37
prob
s 0.0001
Depend Variable: Top Speed
Variable
Coefficient
s. e. of Coeff
Constant
11.6559
0.3153
Weight
3.47812
0.294
R squared = 87.5% R squared (adjusted) = 86.9%
S = 0.6174 with 22 - 2 = 20 degrees of freedom
11.8
s 0.0001
final ex-
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)