# Question

1. In a regression analysis, we predict the value of Y from X based on a

a. significant correlation coefficient.

b. a mathematical equation.

c. a weak positive correlation.

d. a normal curve.

2. Which of the following denotes the slope or the regression coefficient for X?

a. The Y-intercept.

b. The term a.

c. The error term.

d. The term b.

3. The increase or decrease in Y expected with each unit change in X is known as

a. The Y-intercept.

b. The error term e.

c. The regression coefficient, b.

d. Pearson’s correlation, r.

4. A measure of the proportion of the variance in Y explained by X is known as

a. the coefficient of non-determination.

b. the coefficient of determination.

c. The y-intercept.

d. the slope.

a. significant correlation coefficient.

b. a mathematical equation.

c. a weak positive correlation.

d. a normal curve.

2. Which of the following denotes the slope or the regression coefficient for X?

a. The Y-intercept.

b. The term a.

c. The error term.

d. The term b.

3. The increase or decrease in Y expected with each unit change in X is known as

a. The Y-intercept.

b. The error term e.

c. The regression coefficient, b.

d. Pearson’s correlation, r.

4. A measure of the proportion of the variance in Y explained by X is known as

a. the coefficient of non-determination.

b. the coefficient of determination.

c. The y-intercept.

d. the slope.

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