# Question

Mutiple choice questions:

1. A simple regression is a regression model that contains

a. Only one independent variable

b. Only one dependent variable

c. More than one independent variable

d. Both a and b

2. The relationship between independent and dependent variables represented by the (simple) linear regression is that of

a. A straight line

b. A curve

c. Both a and b

3. A deterministic regression model is a model that

a. Contains the random error term

b. Does not contain the random error term

c. Gives a nonlinear relationship

4. A probabilistic regression model is a model that

a. Contains the random error term

b. Does not contain the random error term

c. Shows an exact relationship

5. The least squares regression line minimizes the sum of

a. Errors

b. Squared errors

c. Predictions

6. The degrees of freedom for a simple regression model are

a. n 1

b. n 2

c. n 5

7. Is the following statement true or false?

The coefficient of determination gives the proportion of total squared errors (SST) that is explained by the use of the regression model.

8. Is the following statement true or false?

The linear correlation coefficient measures the strength of the linear association between two variables.

9. The value of the coefficient of determination is always in the range

a. 0 to 1

b. 1 to 1

c. 1 to 0

10. The value of the correlation coefficient is always in the range

a. 0 to 1

b. 1 to 1

c. 1 to 0

1. A simple regression is a regression model that contains

a. Only one independent variable

b. Only one dependent variable

c. More than one independent variable

d. Both a and b

2. The relationship between independent and dependent variables represented by the (simple) linear regression is that of

a. A straight line

b. A curve

c. Both a and b

3. A deterministic regression model is a model that

a. Contains the random error term

b. Does not contain the random error term

c. Gives a nonlinear relationship

4. A probabilistic regression model is a model that

a. Contains the random error term

b. Does not contain the random error term

c. Shows an exact relationship

5. The least squares regression line minimizes the sum of

a. Errors

b. Squared errors

c. Predictions

6. The degrees of freedom for a simple regression model are

a. n 1

b. n 2

c. n 5

7. Is the following statement true or false?

The coefficient of determination gives the proportion of total squared errors (SST) that is explained by the use of the regression model.

8. Is the following statement true or false?

The linear correlation coefficient measures the strength of the linear association between two variables.

9. The value of the coefficient of determination is always in the range

a. 0 to 1

b. 1 to 1

c. 1 to 0

10. The value of the correlation coefficient is always in the range

a. 0 to 1

b. 1 to 1

c. 1 to 0

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