ISYE 6414 Midterm Prep Questions and answers, 100% Accurate. Rated A+

ISYE 6414 Midterm Prep Questions and answers, 100% Accurate. Rated A+ We can assess the constant variance assumption in linear regression by plotting the residuals vs. fitted values. - -True If one confidence interval in the pairwise comparison in ANOVA includes zero, we conclude that the two corresponding means are plausibly equal. - -True The assumption of normality is not required in linear regression to make inference on the regression coefficients. - -False (Explanation: is required) We cannot estimate a multiple linear regression model if the predicting variables are linearly independent. - -False (Explanation: linearly dependent) If a predicting variable is a categorical variable with 5 categories in a linear regression model without intercept, we will include 5 dummy variables. - -True If the normality assumption does not hold for a regression, we may use a transformation on the response variable. - -True