Exam 18: Regression Analysis

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When we have hypothesized in advance which variables, or which sets of variables, are more influential than others in predicting the dependent variable, we should use the stepwise multiple regression method.

(True/False)

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Question 21

Which of the following statements is/are true about the regression equation?

(Multiple Choice)

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Question 22

15, In multiple regression analysis, the dependent variable must be at the interval or ratio level of measurement, but not all independent variables need be at that level.

(True/False)

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Question 23

Which of the following is an assumption of bivariate regression analysis, but NOT an assumption of multiple regression analysis?

(Multiple Choice)

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Question 24

Suppose two interrelated independent variables each has a .30 bivariate correlation with a dependent variable, and their combined multiple correlation with the dependent variable is .40.Then:

(Multiple Choice)

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Question 25

The more overlap among the independent variables in a multiple correlation analysis, the greater the sum of each variable's unique amount of shared variance with the dependent variable.

(True/False)

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Question 26

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When we have hypothesized in advance which variables, or which sets of variables, are more influential than others in predicting the dependent variable, we should use the stepwise multiple regression method.

Which of the following statements is/are true about the regression equation?

15, In multiple regression analysis, the dependent variable must be at the interval or ratio level of measurement, but not all independent variables need be at that level.

Which of the following is an assumption of bivariate regression analysis, but NOT an assumption of multiple regression analysis?

Suppose two interrelated independent variables each has a .30 bivariate correlation with a dependent variable, and their combined multiple correlation with the dependent variable is .40.Then:

The more overlap among the independent variables in a multiple correlation analysis, the greater the sum of each variable's unique amount of shared variance with the dependent variable.

Why Study Statistics

Use of Statistics in Evidence-Based Practice

Review of Key Research Methodology Concepts and Terms

Frequency Distributions

Graphs and Charts

Measures of Central Tendency

Measures of Dispersion

Types of Distributions

Z-Scores, Percentiles and Effect Size

Probability and Sampling Distributions

Hypothesis Testing and Statistical Significance

Type I and Type Ii Errors

Interpreting the Strength and Importance of Relationships

The T-Test

Analysis of Variance

Cross Tabulation and Chi-Square

Correlation

Applications to Single-System Evaluation Designs

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