(1) A multipredictor linear model is a straightforward extension of the simple linear model for continuous outcomes.

A. TRUE

B. FALSE

(2) Disease status can be modeled using linear regression.

A. TRUE

B. FALSE

(3) The beta parameter is the slope of the line between the predictor and outcome variables.

A. TRUE

B. FALSE

(4) One does not need to modify the coefficient of determination as more variables are added.

A. TRUE

B. FALSE

(5) While comparing the stunning data among six WHO regions, we need to create dummy variable for who_regions because it is a categorical variable. We can apply the mean of 3.12 and the standard deviation of 0.56 for our regression analysis.

A.TRUE

B.FALSE

6) Residual plots are very useful in model diagnosis for assessing the normality and homoscedasticity for linear regression and logistic regression analysis.A.TRUE

B.FALSE

(7) In logistic regression analysis, the outcome variable must be dichotomous; the explanatory variables must be categorical.

A.TRUE

B.FALSE

(8) Name the appropriate statistical test for the three items listed below in linear regression analysis.

Overall model: ____________________

Linear predictor variables: _________________

Categorical variable with >2 categories beta coefficient: ____________________

Please explain shortly the reasons for true or false.