1.Choose the BEST answer. An OLS regression analysis is appropriate when: (Some tutor says A is true, some say B. Please help me clarify it!)

A. the pattern of data points forms an exponential line.

B. there is heteroscedasticity in the scatter plot.

C. you want to make predictions for a continuous variable based on a binary variable.

D. you have two variables that are measured on a nominal scale.

2.Which description of the R-Squared is correct? (B and D are wrong. I may choose C, but I am not sure about what it says about "in a OLS regression model", also I have no idea of "unstandardized regression coefficients")

A.R-Squared equals the unstandardized regression coefficients

B.R-Squared= 0.90 indicates a small effect size.

C. The R-Squared is the proportion of variation in the dependent variable explained by all the independent variables in a OLS regression model.

D. The R-Squared is the mathematical notation for Pearson's correlation coefficient.

3.OLS in Linear Regression

A.identifies one variable as the independent variable

B. assumes a linear association between the dependent variable and multiple independent variables

C. use a likelihood ratio test to assess overall model fit

D. is appropriate for a time-to-event dependent variable

4.Which statement would you expect after adding an additional independent variable in the regression model? (I think B is true)

A.The adjusted R-Squared will always increase.

B.The adjusted R-Squared may be larger than R-Squared.

C.The adjusted R-Squared may decrease

D. The R-Squared may decrease.

3.