Duringva study of the performance of a new engine design, the weight of 22 aircrafts ( tons) and the top speed ( mph) were recorded. A regression line was generated and shown to be an appropriate description of the relationship. The results of the analysis are:

Depend Variable: Top SpeedVariable

Constant

WeightCoefficient

11.6559

3.47812s.e. of Coeff

0.3153

0.294t-ratio

37

11.8prob

0.0001

0.0001R squared = 87.5% R squared (adjusted) = 86.9%s = 0.6174 with 22 - 2 = 20 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.

Part B: What is the predicted value for the top speed of an aircraft if its weight is 100 tons? Show your work.

Source

Styles

Normal