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A particularly useful aspect of graphing standardized residuals is ______. a. identifying multivariate outliers b. making variables linear c. detecting seriously skewed distributions d. removing interaction effects

QUESTION 2 A psychologist helping a group of teachers develop a regression equation to predict arithmetic achievement for 3 rd grade students detects a multicollinearity problem, which means that ______. a. the independent variables and the dependent variable are highly correlated b. at least one student is an outlier c. two independent variables are highly correlated d. the dependent variable and at least one independent variable are highly correlated

QUESTION 3 An assumption of regression with two predictors is that ______. a. at least one outlier is present b. Y is approximately normally distributed c. X1 and X2 are nonlinearly related d. the predictors interact

QUESTION 4 An assumption of regression with two predictors is that ______. a. Y is positively skewed b. at least one outlier is present c. the variance in Y is heterogeneous across the levels of X1 and X2 d. all variables are linearly related

QUESTION 5 An assumption of regression with two predictors is that ______. a. the variance in Y is homogeneous across the levels of X1 and X2 b. at least one outlier is present c. all variables are nonlinearly related d. Y is positively skewed

QUESTION 6 In regression, the predictive contribution of each independent variable is represented by ______. a. the partial slope b. a coefficient c. a path coefficient d. the regression plane

QUESTION 7 In the formula for semipartial correlation, r Y(1.2), the variable being partialled out is indicated by ______. a. 1 b. 2 c. r d. Y

QUESTION 8 Potential violations of assumptions of regression with two variables can be identified by graphing ______. a. standardized residuals b. means of the predictor variables c. regression coefficients d. variances of the predictor variables

QUESTION 9 Selection of predictor variables to be included in a regression equation should be based on ______. a. low correlations with Y b. theoretical considerations c. the likelihood of obtaining significant results d. high correlations with Y

QUESTION 10 The effect size of an overall multiple regression model is estimated by ______. a. pri2 b. R2 c. 2 d. sri2

QUESTION 11 The overall significance of a multiple regression equation is tested using ______. a. t b. F c. z d.

QUESTION 12 The presence of two or more highly correlated independent variables in a regression analysis results in the problem of ______. a. multicollinearity b. restricted range c. curvilinearity d. unequal variances

QUESTION 13 The proportion of variance explained by the combined set of predictor variables is indicated by ______. a. F b. Y' c. R d. R2

QUESTION 14 The significance of each individual predictor in a multiple regression equation is tested using ______. a. F b. t c. d. z

QUESTION 15 When at least two variables are used to predict a dependent variable, the graphic representation of the dataset is called a ______. a. complex histogram b. multivariate graph c. regression plane d. regression line

QUESTION 16 A school psychologist developing an equation to predict end-of-grade test scores using cognitive ability, oral ability, writing ability, and attitude toward learning believes that cognitive ability is the most influential variable. The order in which the psychologist should enter the variables is ______. a. attitude toward learning, cognitive ability, oral ability, and writing ability b. oral ability, writing ability, cognitive ability, and attitude toward learning c. writing ability, cognitive ability, oral ability, and attitude toward learning d. oral ability, writing ability, attitude toward learning, and cognitive ability

QUESTION 17 For standard regression, the most common effect size index for each predictor is ______. a. Finc b. c. t2 d. sr2i

QUESTION 18 In sequential and statistical regression, the contribution of each predictor is assessed by examining ______. a. b. R2inc c. t d. Finc

QUESTION 19 Readers of research reports based on sequential regression analyses should expect to see b, , multiple R, and F values from ______. a. the steps with highest values of each b. the first step c. each step d. the final step

QUESTION 20 The hierarchical regression method is also known as ______. a. data-driven regression b. simultaneous regression c. user-determined regression d. standard regression