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A model was built to predict house prices that included 8 variables. The Overall F test had a p-value equal to 0.0001, but all of
A model was built to predict house prices that included 8 variables. The Overall F test had a p-value equal to 0.0001, but all of the p-values for the t-test had p-values greater than 0.20. What does this indicate? There is a problem with extrapolation. There is a problem with multicollinearity. The data is summarized
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