Question
Which of the following statements does not represent a model assumption of linear regression? The variance of the error terms is constant at each value
Which of the following statementsdoes notrepresent a model assumption of linear regression?
- The variance of the error terms is constant at each value of x
- The standard deviation of the independent variable is normally distributed
- The random error terms are independent
- The residuals are normally distributed
- The mean of the random error terms is zero
An odds ratio of 1 for the odds of loan default for individuals versus corporations would indicate that there is a statistical association between defaulting on a loan and whether the loan was taken out by an individual or a corporation
- True or False
If the coefficient of a quantitative predictor variable in a logistic regression model is negative, then the probability of the response (y=1) will decrease as the value of that predictor variable increases, provided the values of other predictors are held constant.
- True or False
The independent variables in a linear regression model can be either quantitative, categorical, or a mixture of both.
- True or False
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