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)
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Answer:
The Results Of The Regression Analysis Are Below. Depend Variable: Top Speed Variable Constant Weight Coefficient 3.221 0.5480 . ... 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.
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Answered by
0
Answer:
ANSWER IS EASILY 3.022
Step-by-step explanation:
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