26. The results from a Pearson correlation used to examine the relationship between two variables will be the exact same as the results if computed as a simple regression. O True O False 27. There is no advantage to using a simple regression analysis over a correlation analysis to examine the relationship between two variables. O True O False 28. What is the best practice to use when conducting a multiple regression analyses? OA. Enter in all the independent variables (drivers) to the regression analysis you think might help explain your dependent variable (key outcome). OB. Based on previous research, only enter in the independent variables (drivers) you think will be related to the dependent variable (key outcome). OC. Examine all the pairwise (1 independent variable related to the dependent variable) relationships you predict are related to dependent variable first and then only enter those that are significant into the multiple regression. OD. There isn't an advantage to doing a multiple regression over numerous pairwise (1 independent variable related to the dependent variable) comparisons.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 15PPS
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26. The results from a Pearson correlation used to examine the relationship between two variables will be the exact same as the results if computed as a simple regression.
O True
O False
27. There is no advantage to using a simple regression analysis over a correlation analysis to examine the relationship between two variables.
O True
O False
28. What is the best practice to use when conducting a multiple regression analyses?
OA. Enter in all the independent variables (drivers) to the regression analysis you think might help explain your dependent variable (key outcome).
OB. Based on previous research, only enter in the independent variables (drivers) you think will be related to the dependent variable (key outcome).
OC. Examine all the pairwise (1 independent variable related to the dependent variable) relationships you predict are related to dependent variable first and then only enter those that are significant into the multiple regression.
OD. There isn't an advantage to doing a multiple regression over numerous pairwise (1 independent variable related to the dependent variable) comparisons.
Transcribed Image Text:26. The results from a Pearson correlation used to examine the relationship between two variables will be the exact same as the results if computed as a simple regression. O True O False 27. There is no advantage to using a simple regression analysis over a correlation analysis to examine the relationship between two variables. O True O False 28. What is the best practice to use when conducting a multiple regression analyses? OA. Enter in all the independent variables (drivers) to the regression analysis you think might help explain your dependent variable (key outcome). OB. Based on previous research, only enter in the independent variables (drivers) you think will be related to the dependent variable (key outcome). OC. Examine all the pairwise (1 independent variable related to the dependent variable) relationships you predict are related to dependent variable first and then only enter those that are significant into the multiple regression. OD. There isn't an advantage to doing a multiple regression over numerous pairwise (1 independent variable related to the dependent variable) comparisons.
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