May I please ask for help with the following practice exercises for homework? Thank you.

In a multiple regression model, the variance of the error termis assumed to be:

1. the same for all values of the dependent variable
2. zero
3. the same for all values of the independent variable
4. -1

A regression model in which more than one independent variable is used to predict the dependent variable is called:

1. a simple linear regression model
2. a multiple regression model
3. an independent model
4. None of these alternatives is correct.

All the variables in a multiple regression analysis:

1. must be quantitative
2. must be either quantitative or qualitative but not a mix of both
3. must be positive
4. None of these alternatives is correct.

In a multiple regression model, the error termis assumed to

1. have a mean of 1
2. have a variance of zero
3. have a standard deviation of 1
4. be normally distributed

A variable that cannot be measured in terms of how much or how many but instead is assigned values to represent categories is called:

1. an interaction
2. a constant variable
3. a category variable
4. a qualitative variable