# Use the following information to ensure successful completion of the assignment: Refer to “Module 6 Problem Set.”Solutions are available.Directions: Complete the problems in “Module 6 Problem Set.”Che

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Use the following information to ensure successful completion of the assignment:

- Refer to “Module 6 Problem Set.”
- Solutions are available.

Directions:

- Complete the problems in “Module 6 Problem Set.”
- Check your solutions by comparing your answers to the “Module 6 Problem Set Solutions” document.
- Submit to the instructor a statement indicating that you have completed this assignment.

Use the following information to ensure successful completion of the assignment: Refer to “Module 6 Problem Set.”Solutions are available.Directions: Complete the problems in “Module 6 Problem Set.”Che

College of Doctoral Studies RES-845: Module 6 Problem Set Select the response that is correct from the list of choices. Highlight your selection to indicate it as your answer. Add an explanation of why you made that choice. Which of the following is NOT true regarding the Pearson Product-Moment Correlation Coefficient. (Notice, identify the choice that is NOT true.) The Pearson Product-Moment Correlation Coefficient is used for bivariate correlations. The Pearson Product-Moment Correlation Coefficient is a parametric statistic. The Pearson Product-Moment Correlation Coefficient requires variables that are measured on continuous scales of measurement. The Pearson Product-Moment Correlation Coefficient is always a positive value. Correct answer(s): D The Pearson Product-Moment Correlation Coefficient WOULD be used if your data Are rank scores Have unequal variances Are curvilinear Are normally distributed Correct answer(s): D True or False? A negative relationship is one where as the values on one variable get larger, the paired values on the other variable also get larger. True False Correct answer(s): False True or False? Values of r can fall anywhere between -1 and +1. True False Correct answer(s): True If you compute r = .7, the coefficient of determination is .14 .70 .49 None of the above Correct answer(s): C True or False? A coefficient of determination of .3 means that you are predicting 9% of the variability in variable Y from the variability in variable X. True False Correct answer(s): True A correlation of .75 would be interpreted as a Low correlation Moderate correlation High correlation Very high correlation Correct answer(s): C You have a non-directional hypothesis and have set your alpha at .01. You have 30 pairs of scores. What is the criterion value of r you need to equal or exceed to have a significant correlation so you can reject the null hypothesis? .449 .361 .349 .463 Correct answer(s): D True or False? Multiple regression allows you to have more than one predictor of the one criterion variable. True FalseCorrect answer(s): True True or False? The Spearman Rho correlation coefficient should be used if your data do not meet the assumptions for the Pearson Product-Moment correlation coefficient regarding normal distribution and/or homogeneity of variances. True False © 2011. Grand Canyon University. All Rights Reserved.

Use the following information to ensure successful completion of the assignment: Refer to “Module 6 Problem Set.”Solutions are available.Directions: Complete the problems in “Module 6 Problem Set.”Che

College of Doctoral Studies RES-845: Module 6 Problem Set Select the response that is correct from the list of choices. Highlight your selection to indicate it as your answer. Add an explanation of why you made that choice. Which of the following is NOT true regarding the Pearson Product-Moment Correlation Coefficient. (Notice, identify the choice that is NOT true.) The Pearson Product-Moment Correlation Coefficient is used for bivariate correlations. The Pearson Product-Moment Correlation Coefficient is a parametric statistic. The Pearson Product-Moment Correlation Coefficient requires variables that are measured on continuous scales of measurement. The Pearson Product-Moment Correlation Coefficient is always a positive value. Correct answer(s): D The Pearson Product-Moment Correlation Coefficient WOULD be used if your data Are rank scores Have unequal variances Are curvilinear Are normally distributed Correct answer(s): D True or False? A negative relationship is one where as the values on one variable get larger, the paired values on the other variable also get larger. True False Correct answer(s): False True or False? Values of r can fall anywhere between -1 and +1. True False Correct answer(s): True If you compute r = .7, the coefficient of determination is .14 .70 .49 None of the above Correct answer(s): C True or False? A coefficient of determination of .3 means that you are predicting 9% of the variability in variable Y from the variability in variable X. True False Correct answer(s): True A correlation of .75 would be interpreted as a Low correlation Moderate correlation High correlation Very high correlation Correct answer(s): C You have a non-directional hypothesis and have set your alpha at .01. You have 30 pairs of scores. What is the criterion value of r you need to equal or exceed to have a significant correlation so you can reject the null hypothesis? .449 .361 .349 .463 Correct answer(s): D True or False? Multiple regression allows you to have more than one predictor of the one criterion variable. True FalseCorrect answer(s): True True or False? The Spearman Rho correlation coefficient should be used if your data do not meet the assumptions for the Pearson Product-Moment correlation coefficient regarding normal distribution and/or homogeneity of variances. True False © 2011. Grand Canyon University. All Rights Reserved.

Use the following information to ensure successful completion of the assignment: Refer to “Module 6 Problem Set.”Solutions are available.Directions: Complete the problems in “Module 6 Problem Set.”Che

College of Doctoral Studies RES-845: Module 6 Problem Set Solutions Select the response that is correct from the list of choices. Highlight your selection to indicate it as your answer. Add an explanation of why you made that choice. Which of the following is NOT true regarding the Pearson Product-Moment Correlation Coefficient. (Notice, identify the choice that is NOT true.) The Pearson Product-Moment Correlation Coefficient is used for bivariate correlations. The Pearson Product-Moment Correlation Coefficient is a parametric statistic. The Pearson Product-Moment Correlation Coefficient requires variables that are measured on continuous scales of measurement. The Pearson Product-Moment Correlation Coefficient is always a positive value. Correct answer(s): D The Pearson Product-Moment Correlation Coefficient WOULD be used if your data Are rank scores Have unequal variances Are curvilinear Are normally distributed Correct answer(s): D True or False? A negative relationship is one where as the values on one variable get larger, the paired values on the other variable also get larger. True False Correct answer(s): False True or False? Values of r can fall anywhere between -1 and +1. True False Correct answer(s): True If you compute r = .7, the coefficient of determination is .14 .70 .49 None of the above Correct answer(s): C True or False? A coefficient of determination of .3 means that you are predicting 9% of the variability in variable Y from the variability in variable X. True False Correct answer(s): True A correlation of .75 would be interpreted as a Low correlation Moderate correlation High correlation Very high correlation Correct answer(s): C You have a non-directional hypothesis and have set your alpha at .01. You have 30 pairs of scores. What is the criterion value of r you need to equal or exceed to have a significant correlation so you can reject the null hypothesis? .449 .361 .349 .463 Correct answer(s): D True or False? Multiple regression allows you to have more than one predictor of the one criterion variable. True FalseCorrect answer(s): True True or False? The Spearman Rho correlation coefficient should be used if your data do not meet the assumptions for the Pearson Product-Moment correlation coefficient regarding normal distribution and/or homogeneity of variances. True False © 2011. Grand Canyon University. All Rights Reserved.

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