Which of following is NOT a valid assumption for linear regression model. The data is truly linear. There are no non-linear or curvilinear effects. The variance of error terms is constant. Error terms are normally distributed with mean of 0. Error terms are independent. Multicollinearity is not an issue for linear regression model.
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The data is truly linear: This is a valid assumption for linear regression model. The model assumes that the relationship between the independent and dependent variable is linear. Show more…
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