Question

suppose the correlation coefficient measuring the strength of the linear association between height (y-in cms) and...

suppose the correlation coefficient measuring the strength of the linear association between height (y-in cms) and video gaming (x-hours per week) for 100 study participants is -0.7. 1. interpret the correlation coefficient 2.calculate the coefficient of determination, interpret the result

Homework Answers

Answer #1

Correlation coefficient is -0.7 which shows that there is negative relationship between the dependent and independent variable.

-0.7 shows that the strength of the relationship is moderately high between the dependent and independent variable, but the relationship is negative

Coefficient of determination = r^2

we have r = -0.7

so, coefficient of determination = (-0.7)^2 = 0.49

This shows that 49% variation in the dependent variable can be explained by the independent variable.

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
The strength of the relationship between two quantitative variables can be measured by the y-intercept of...
The strength of the relationship between two quantitative variables can be measured by the y-intercept of the simple linear regression equation. the slope of a simple linear regression equation. both the coefficient of correlation and the coefficient of determination. the coefficient of determination. the coefficient of correlation.
Which of the following is NOT a property of the linear correlation coefficient​ r? A. The...
Which of the following is NOT a property of the linear correlation coefficient​ r? A. The value of r is always between minus−1 and 1 inclusive. B.The linear correlation coefficient r is robust. That​ is, a single outlier will not affect the value of r. C.The value of r measures the strength of a linear relationship. D.The value of r is not affected by the choice of x or y.  
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation...
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals 0.50, this means that 50% of the variation in the dependent variable (Y) is due to changes in the independent variable (X).
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation...
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals 0.50, this means that 50% of the variation in the dependent variable (Y) is due to changes in the independent variable (X).
Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals −0.75,...
Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals −0.75, this means that: a. there is very weak correlation. b. the slope b1 is = −0.75. c. the value of X is always greater than the value of Y. d. None of these choices are true. Which of the following is a property of the slope, b1? a. The slope equals one if X and Y have the same variance. b. The slope has...
For the data below, determine the value of the linear correlation coefficient r between y and...
For the data below, determine the value of the linear correlation coefficient r between y and x2 x 1.2 2.7 4.4 6.6 9.5 y 1.6 4.7 9.9 24.5 39.0 A) 0.985 B) 0.913 C) 0.990 D) 0.873 Please show all work. Thank you.
The correlation between x, ( the diameter of the tree), and Y (the tree’s height) is...
The correlation between x, ( the diameter of the tree), and Y (the tree’s height) is 0.875064.   A coefficient of correlation of 0.875064 indicates a strong correlation between the independent variable and the dependent variable.   In general, if Y tends to increase along with X, there's a positive relationship. QUESTION: What does this mean in terms of the problem?    Is it a strong correlation? is it statistically significant?
For questions #47-50, refer to the following: A possible linear correlation between(x) hours of exercise per...
For questions #47-50, refer to the following: A possible linear correlation between(x) hours of exercise per week and (y) a person's cholesterol level was examined with the following results: (x): 5 12 3 1 4 7 (y): 212 165 178 195 210 145 #47) What is the correlation coefficient? a. .87 b. .63 c. -.53 d. -.43 e. -.27 What percentage of a person's cholesterol level is directly related to their hours of weekly exercise? a. .28 b. 28.09 c....
Q4. Professor Video, a college psychology instructor, wants to determine if there is a negative linear...
Q4. Professor Video, a college psychology instructor, wants to determine if there is a negative linear correlation between a student’s GPA and the number of hours a student spends playing video games per week. She randomly selected twenty students from all her classes and determined their number of hours playing video games per week and their GPA. The sample results were: GPA: 4.00 2.50 3.95 3.90 3.80 2.90 3.10 3.25 1.35 4.00 Hrs Playing: 0 15 3 5 0 13...
*This question has several parts* Seven participants were asked about the average number of hours they...
*This question has several parts* Seven participants were asked about the average number of hours they spent watching TV per week and the average number of hours of sleep they had per week. Responses from the 7 participants are presented in the table below. Participant Average number of hours watching TV per week (X) Average number of hours of sleep per week (Y) A 12 38 B 30 45 C 23 42 D 5 64 E 10 43 F 14...