Exam 15: Partial Correlation and Multiple Regression and Correlation
Exam 1: Introduction37 Questions
Exam 2: Basic Descriptive Statistics Tables Percentages Rates and Ratios and Graphs29 Questions
Exam 3: Measures of Central Tendency37 Questions
Exam 4: Measures of Variation37 Questions
Exam 5: The Normal Curve37 Questions
Exam 6: Introduction to Inferential Statistics Sampling and the Sampling Distribution37 Questions
Exam 7: Estimation Procedures37 Questions
Exam 8: Hypothesis Testing I the One Sample Case37 Questions
Exam 9: Hypothesis Testing Ii the Two Sample Case37 Questions
Exam 10: Hypothesis Testing Iii the Analysis of Variance37 Questions
Exam 11: Hypothesis Testing Iv Chi Square37 Questions
Exam 12: Bivariate Association for Nominal and Ordinal Level Variables34 Questions
Exam 13: Association Between Variables Measured at the Interval Ratio Level37 Questions
Exam 14: Elaborating Bivariate Tables37 Questions
Exam 15: Partial Correlation and Multiple Regression and Correlation37 Questions
Select questions type
The regression equation for a particular relationship is Y = 10 + (.78) X 1+ (-.54) X 2. Which conclusion is consistent with this equation?
Free
(Multiple Choice)
4.9/5
(27)
Correct Answer:
D
The partial correlation coefficient will reveal an interactive relationship between three variables when________.
Free
(Multiple Choice)
5.0/5
(28)
Correct Answer:
D
If the beta-weight of the first independent (X 1) is .45 and the beta-weight of the second independent (X 2) is -.50, then________.
Free
(Multiple Choice)
4.7/5
(38)
Correct Answer:
B
After controlling for Z, the partial correlation coefficient between X and Y is the same value as the bivariate Pearson's r. This pattern would be taken as evidence of________.
(Multiple Choice)
4.9/5
(34)
Which of the following would be consistent with a spurious relationship between X and Y?
(Multiple Choice)
4.8/5
(35)
If a researcher wants to predict the value of a dependent variable based upon known independent variables for a specific case, they would use________.
(Multiple Choice)
4.8/5
(35)
To the extent that the variables do not meet the assumptions of regression analysis, coefficients and slopes become________.
(Multiple Choice)
4.7/5
(26)
After controlling for Z, a researcher finds evidence of a spurious relationship between X and Y. What step should be taken next?
(Multiple Choice)
4.9/5
(37)
In an equation where the beta-weight for poverty is 0.73 and for age is -0.13, what would be the intercept in the standardized least-squares regression line?
(Multiple Choice)
4.9/5
(31)
Which of the following would be consistent with a causal model in which X and Z had independent and uncorrelated causal effects on Y?
(Multiple Choice)
4.9/5
(23)
In the analysis of the relationship between crime, poverty, age, and region reported in the text, which independent variable(s) had the strongest effect on the dependent variable according to the beta-weights?
(Multiple Choice)
4.9/5
(32)
Which of the following is a correctly stated standardized regression equation?
(Multiple Choice)
4.9/5
(42)
In the least-squares multiple regression equation, the unstandardized partial slopes show________.
(Multiple Choice)
4.8/5
(38)
Which of the following is not a prerequisite for the use of the techniques of multiple regression and correlation?
(Multiple Choice)
4.8/5
(37)
Which of the following would be consistent with a direct relationship between X and Y?
(Multiple Choice)
4.9/5
(32)
In the multiple regression equation, the symbol b stands for the________.
(Multiple Choice)
4.8/5
(25)
The coefficient of multiple determination (R2), with two independent variables is________.
(Multiple Choice)
4.8/5
(37)
When examining a bivariate relationship using Pearson's r, the partial correlation computed while using one control variable is called________.
(Multiple Choice)
4.9/5
(36)
It is possible that a published journal article would include ______ in their analysis of a multiple regression model.
(Multiple Choice)
4.9/5
(32)
Showing 1 - 20 of 37
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)