Question:

In regression analysis, the variable that is used to explain the change in the outcome of an experiment, or some natural process, is called:

A.

the x-variable

B.

the independent variable

C.

the predictor variable

D.

the explanatory variable

Answer» c. the predictor variable

Question:

In a regression analysis if r2 = 1, then :

A.

SSE must also be equal to one

B.

SSE must be equal to zero

C.

SSE can be any positive value

D.

SSE must be negative

Answer» b. SSE must be equal to zero

Question:

In regression, the equation that describes how the response variable (y) is related to the explanatory variable (x) is:

A.

the correlation model

B.

the regression model

C.

used to compute the correlation coefficient

D.

None of these alternatives is correct.

Answer» b. the regression model

Question:

In regression analysis, the variable that is being predicted is the:

A.

Response, or dependent, variable

B.

Independent variable

C.

intervening variable

D.

is usually x

Answer» a. Response, or dependent, variable

Question:

If there is a very strong correlation between two variables then the correlation coefficient must be:

A.

any value larger than 1

B.

much smaller than 0, if the correlation is negative

C.

much larger than 0, regardless of whether the correlation is negative or positive

D.

None of these alternatives is correct

Answer» b. much smaller than 0, if the correlation is negative