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Mathematics, 12.01.2021 18:00 bryanatwin6207
The following estimated regression equation was developed for a model involving two independent variables.
y​=40.7+8.63x1​+2.71x2​
After was dropped from the model, the least squares method was used to obtain an estimated regression equation involving only as an independent variable.
y=42.0+9.01x1​
Required:
a. Give an interpretation of the coefficient of x1 in both models.
b. Could multicollinearity explain why the coefficient of x1 differs in the two models? If so, how?
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