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Sagot :
Answer:
a) estimated regression equation = ( 2.039e + 04 - 3.79e - 02 millage , - 6.863e + 02 age )
b) multicollinearity is an issue for this model
Step-by-step explanation:
a) An estimated regression equation
estimated regression equation = price ~ mileage + age = ( 2.039e + 04 - 3.79e - 02 millage , - 6.863e + 02 age )
Residuals :
Min 1∅ median 3∅ max
- 1053.73 - 542.06 - 19.61 433.55 1560.81
coefficients :
- estimate std errors at t values
- ( intercept ) 2.039e + 04 2.982e+02 68.366<2e-16
b) multicollinearity is an issue for this model because the correlation between millage and Fs 0.6681727 is of high degree
attached below is the remaining part of the solution

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