Judge whether below statements are right or not 1.6) To deal with the multiple linear regression model with qualitative predictor variables, we will use indicator variables or dummy variables. One of the advantages of using indicator variables is that we can use the extra-sum-of-square method to conduct hypothesis tests directly. For example, we can directly use the extra-sum-of-square method to test whether or not the regression lines have a common slope but possibly different intercepts. 1.7) Akaike information criterion places a greater penalty on adding regressors as the sample size increase than Bavesian information criterion 1.8 Stepwise method in variable selection guarantees that the best subset regression model of any size will be identified. 1.9) Once a regressor has been added, it can not be removed at a later step in stepwise method for variable selection. 1.10) The deviance residuals and Pearson residuals are commonly used for conducting model adequacy checking in logistic regression. Tools in graphical analysis of residuals for multiple linear regression such as normal Q-Q plots are still useful in checking the fit of the model at individual data points and in checking for possible outliers for logistic regression model