1. Multiple regression can be used to measure predictive variability for only two predictor variables.
Answer
Correct Answer:
False
Note: This Question is unanswered, help us to find answer for this one
2. In an analysis of regression there are two sources of variation: regression, and residual or error.
Answer
Correct Answer:
True
Note: This Question is unanswered, help us to find answer for this one
3. The y-intercept of a straight line is the value of the criterion variable (Y) when the predictor variable (X) = 1.
Answer
Correct Answer:
False
Note: This Question is unanswered, help us to find answer for this one
4. The regression line is the line that makes the value of SS the smallest.
Answer
Correct Answer:
True
Note: This Question is unanswered, help us to find answer for this one
5. If t = 1.43 for the relative contribution of one factor, then what is this value when converted to an F statistic?
Answer
Correct Answer:
2.04
Note: This Question is unanswered, help us to find answer for this one
6. Which of the following is not a step to evaluate the significance of the relative contribution of each factor:
Answer
Correct Answer:
Compute the chi-square statistic
Note: This Question is unanswered, help us to find answer for this one
7. A researcher is interested in predicting the effect of restrained eating and ruminative coping on depression—which statistical analysis would be appropriate for their study?
Answer
Correct Answer:
Multiple regression
Note: This Question is unanswered, help us to find answer for this one
8. A statistical method that uses two or more predictor variable(s) in the equation of the regression line is called:
Answer
Correct Answer:
Multiple regression.
Note: This Question is unanswered, help us to find answer for this one
9. A researcher computes an analysis of regression in which r = .49. What is the value of the coefficient of determination in this example?
Answer
Correct Answer:
24
Note: This Question is unanswered, help us to find answer for this one
10. If the coefficient of determination is 0.45 and the sum of squares regression for an analysis of regression is 180, then what is the value of SSY?
Answer
Correct Answer:
400
Note: This Question is unanswered, help us to find answer for this one
11. If b = −0.57, MX= 5.25, and MY = 2.75 for a set of data points, then what is the value of the y-intercept for the best-fitting linear equation?
Answer
Correct Answer:
6.82
Note: This Question is unanswered, help us to find answer for this one
12. The regression equation uses the method of ________ to determine the best-fitting straight line to a set of data points.
Answer
Correct Answer:
Least squares
Note: This Question is unanswered, help us to find answer for this one
13. A researcher measures the extent to which the amount of caffeine intake predicts speed on cognitive tasks. Which factor is the predictor variable in this example?
Answer
Correct Answer:
Caffeine intake
Note: This Question is unanswered, help us to find answer for this one
14. A researcher measures the extent to which mother’s age predicts their first baby’s gestational term. Which factor is the criterion variable in this example?
Answer
Correct Answer:
Baby’s gestational term
Note: This Question is unanswered, help us to find answer for this one
15. Y-Intercept is the value of the criterion variable (Y) when the predictor variable (X) equals _____
Answer
Correct Answer:
0
Note: This Question is unanswered, help us to find answer for this one
16. The variable with unknown values that can be predicted or estimated, given known values of the predictor variable is called the to-be-predicted variable.
Answer
Correct Answer:
True
Note: This Question is unanswered, help us to find answer for this one
17. The Standard Error of Estimate equals the _____ of the mean square residual.
Answer
Correct Answer:
Square root
Note: This Question is unanswered, help us to find answer for this one
18. When X and Y change in the same direction, the slope is _____
Answer
Correct Answer:
Positive
Note: This Question is unanswered, help us to find answer for this one
19. The variance in Y that is related to changes in X is known as Residual Variation.
Answer
Correct Answer:
False
Note: This Question is unanswered, help us to find answer for this one
20. The closer the data points fall to the regression line, the _____ the value of regression variation.
Answer
Correct Answer:
Smaller
Note: This Question is unanswered, help us to find answer for this one
21. Regression is a statistical procedure used to determine the equation of a regression line to a set of data points and the extent to which the regression equation can be used to predict values of one factor, given unknown values of a second factor in a population.
Answer
Correct Answer:
False
Note: This Question is unanswered, help us to find answer for this one
22. _____ can be used to predict values of another variable.
Answer
Correct Answer:
Both a and b
Note: This Question is unanswered, help us to find answer for this one
23. Multiple Regression is a statistical procedure that includes two or more _____variables.
Answer
Correct Answer:
Both a and b
Note: This Question is unanswered, help us to find answer for this one
24. Method of Least Squares is a statistical procedure used to compute the slope (b) and_____ of the best-fitting straight line to a set of data points.
Answer
Correct Answer:
Y intercept
Note: This Question is unanswered, help us to find answer for this one
25. Linear Regression is used _____
Answer
Correct Answer:
Both
Note: This Question is unanswered, help us to find answer for this one
26. _____ can be used to predict values of another variable.
Answer
Correct Answer:
Both a and b
Note: This Question is unanswered, help us to find answer for this one
27. Criterion Variable is also known as _____
Answer
Correct Answer:
To-be-Predicted Variable
Note: This Question is unanswered, help us to find answer for this one
28. A statistical procedure used to test hypotheses for one or more predictor variables to determine whether the equation for a sample of data points can be used to predict values of the criterion variable (Y) given values of the predictor variable (X) in the population is known as_____
Answer
Correct Answer:
Analysis of Regression
Note: This Question is unanswered, help us to find answer for this one
Statistics (Social And Behavioral Sciences) MCQs | Topic-wise
