Question

Suppose the Pearson’s product-moment correlation coefficient between shoulder range of motion and shoulder pain is .4....

Suppose the Pearson’s product-moment correlation coefficient between shoulder range of motion and shoulder pain is .4. Also suppose the Pearson’s product moment correlation coefficient between the time since shoulder injury and shoulder pain is .2. Directly compare the proportion of variance in shoulder pain explained by each of these variables.

Homework Answers

Answer #1

From the given information,

Pearson’s product-moment correlation coefficient between shoulder range of motion and shoulder pain is 0.4

Hence,

Proportion of variance in shoulder pain explained by shoulder range of motion is 0.4^2=0.16=16%

Similarly,

Proportion of variance in shoulder pain explained by the time since shoulder injury is 0.2^2=0.04=4%

Hence,

Shoulder range of motion explained 16% variance which is 4 times more than that of the proportion of variance explained by the time since shoulder injury.

Dear student,
I am waiting for your feedback. I have given my 100% to solve your queries. If you are satisfied by my given answer. Can you please like it☺
  
Thank You!!!

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
When you are presented with a Pearson’s correlation coefficient between two variables for which an increase...
When you are presented with a Pearson’s correlation coefficient between two variables for which an increase in one predicts a decrease in the other, and vice versa, the Pearson’s number will be zero; the Pearson number is only meaningful if the variables move in the same direction as one another close to -1 if the correlation is strong, negative but near zero if the correlation is weak close to -1 if the correlation is strong, close to +1 if the...
Determine the Pearson product-moment correlation coefficient for the following data. x 1 10 9 8 4...
Determine the Pearson product-moment correlation coefficient for the following data. x 1 10 9 8 4 3 2 y 10 4 4 5 7 7 9 (Do not round the intermediate values. Round your answer to 3 decimal places.) Correlation coefficient, r =
Determine the Pearson product-moment correlation coefficient for the following data. x 1 11 9 6 4...
Determine the Pearson product-moment correlation coefficient for the following data. x 1 11 9 6 4 3 2 y 10 4 5 5 7 7 8 (Do not round the intermediate values. Round your answer to 3 decimal places.) Correlation coefficient, r =
Determine the Pearson product-moment correlation coefficient for the following data. x 1 11 9 6 4...
Determine the Pearson product-moment correlation coefficient for the following data. x 1 11 9 6 4 3 2 y 10 4 6 5 7 7 10 (Do not round the intermediate values. Round your answer to 3 decimal places.) Correlation coefficient, r =
Determine the Pearson product-moment correlation coefficient for the following data. x 1 10 9 8 4...
Determine the Pearson product-moment correlation coefficient for the following data. x 1 10 9 8 4 3 2 y 10 4 4 5 7 7 10
Suppose we have the correlation coefficient for the relationship between two variables, A and B. Determine...
Suppose we have the correlation coefficient for the relationship between two variables, A and B. Determine whether each of the following statement is true or false. (a) The variables A and B are categorical. (b) The correlation coefficient tells us whether A or B is the explanatory variable. (c) If the correlation coefficient is positive, then lower values of variable A tend to correspond to lower values of variable B. (d) If the correlation between A and B is r...
Determine the Pearson product-moment correlation coefficient for the following data. x 1 10 9 7 5...
Determine the Pearson product-moment correlation coefficient for the following data. x 1 10 9 7 5 3 2 y 8 4 6 5 7 7 8 (Do not round the intermediate values. Round your answer to 3 decimal places.) Correlation coefficient, r =
Determine the Pearson product-moment correlation coefficient for the following data. x 1 11 9 8 5...
Determine the Pearson product-moment correlation coefficient for the following data. x 1 11 9 8 5 3 2 y 9 4 5 5 7 7 10 (Do not round the intermediate values. Round your answer to 3 decimal places.) Correlation coefficient, r =
A hypothesis test using a Pearson’s correlation coefficient is an example of what? A nonparametric statistic...
A hypothesis test using a Pearson’s correlation coefficient is an example of what? A nonparametric statistic A descriptive statistic An inferential statistic A power statistic 1 points    QUESTION 48 What would the scatter plot show for data that produce a Pearson correlation of r = +0.88? Points clustered close to a line that slopes down to the right Points clustered close to a line that slopes up to the right Points widely scattered around a line that slopes up...
PLEASE ANSWER ALL QUESTIONS! AND EXPLANATIONS IF POSSIBLE. THANK YOU True/False: Q. # 56 - 59...
PLEASE ANSWER ALL QUESTIONS! AND EXPLANATIONS IF POSSIBLE. THANK YOU True/False: Q. # 56 - 59 56. The proportion of the Y score variance explained by X score variance equals R squared. 57. With a multiple regression formula of Ỳ (College GPA) = (.71) * (High School GPA) – (2.08) * (Number of Days Missed in High School) + .91 one would interpret the formula as showing a positive relationship between College GPA and Number of Days Missed in High...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT