• The researcher found that the model's effect size was very large wherer= .426. Furthermore,r2= .182. How much of the variance can be explained by the linear combination of predictor variables?

Group of answer choices

5%

18%

42%

43%

• r2= .739can be interpreted as54.7% of the variance.

Group of answer choices

True

False

• A researcher rejected the null wherer(48) = .567,p< .001. Was the researcher correct in rejecting the null?

Group of answer choices

Yes

No

• In the equation, Y' =b0+bxX,b0represents the:

Group of answer choices

correlation between X and Y.

slope coefficient of the regression line.

intercept of the regression line with the Y axis.

predicted value of Y from knowing X.

• Given Y' =b0+bxX.

Ifb0= 0andb= 5 andX = 1, Y will equal:

Group of answer choices

2.5

5

10

20

• A researcher rejected the null wherer(98) = .770,p< .001 and concluded that the effect size was __________.

Group of answer choices

Small

Medium

Large

Very Large

Extremely Large

• A researcher rejected the null wherer(110) = -.196,p= .04 and concluded that the realtionship was __________.

Group of answer choices

Positive

Negative

• The researcher found that the model's effect size was very large wherer= .957. Furthermore,r2= .917. How much of the variance can be explained by the linear combination of predictor variables?

Group of answer choices

95%

96%

93%

92%

• The Multiple Regression is used to determine if there is a relationship between multiple unrelated predictor variables and a criterion variable.

Group of answer choices

True

False

• If a predictor variable (x) is highly correlated with another predictor variable (x), the variablesareprovidingessentially the same information. This is best referredto asmulti-collinearity.

Group of answer choices

True

False

• To test for the absence of multi-collinearity,you would examine theVariance Inflation Factor (VIF).

Group of answer choices

True

False

• If you find significance in the multiple regressionmodel, then you shouldexamine the Coefficients to determine what variables are the best predictors.

Group of answer choices

True

False

• To detect bivariate outliersbetween all predictor variables and the criterion variable,the researchershould use which of the following?:

Group of answer choices

a Box and Whisker plot.

a matrix scatter plot

• The researcherfound that the model's effect size was very large whereR= .957. Furthermore,R2= .917. How much of thevariance can be explained by the linear combination of predictor variables?

Group of answer choices

95%

96%

93%

92%

• If the true slope is zero in a regression, then there is no relationship between the variables.

Group of answer choices

True

False