Since regression methods require the errors to be normally distributed, you apply the 2 goodness of fit test for normality to the residuals, and obtain a p value of 0 001 What does this suggest should be done ...

A pvalue of 0001 obtained from a 2 goodnessoffit test for normality suggests that there is strong evidence to reject the null hypothesis of normality ...

Since regression methods require the errors to be normally distributed, you apply the 2 goodness of

Question:

Since regression methods require the errors to be normally distributed, you apply the χ² goodness of fit test for normality to the residuals, and obtain a p value of 0.001. What does this suggest should be done?

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