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1.For each correlation coefficient below...

1.For each correlation coefficient below, calculate what proportion of variance is shared by the two correlated variables:

a. r = 0.25

b. r = 0.33

c. r = 0.90

d. r = 0.14

2.For each coefficient of determination below, calculate the value of the correlation coefficient:

a. r2 = 0.54

b. r2 = 0.13

c. r2 = 0.29

d. r2 = 0.07

3.Suppose a researcher regressed surgical patients’ length of stay (dependent variable) in the hospital on a scale of functional ability measured 24 hours after surgery. Given the following, solve for the value of the intercept constant and write out the full regression equation:

Mean length of stay = 6.5days; mean score on scale = 33; slope = -0.10

4.Using the regression equation calculated in Exercise 3, compute the predicted value of Y (length of hospital stay) for patients with the following functional ability scores:

a. X = 42

b. X = 68

c. X = 23

d. X = 10

5.Use the regression equation below for predicting graduate GPA for the three presented cases.

Y′ = -1.636 + 0.793(undergrad GPA) + 0.004(GREverbal) – 0.0009(GREquant)

+0.009(Motivation)

Subjectundergrad GPAGREverbalGREquantMotivation

1 2.9 560 540 55

2 3.2 550 590 65

3 3.4 600 550 70

6.Using the following information for R2, k, and N, calculate the value of the F statistic for testing the overall regression equation and determine whether F is statistically significant at the 0.05 level:

a. R2 = 0.13, k = 5, N = 120

b. R2 = 0.53, k = 5, N = 30

c. R2 = 0.28, k = 4, N = 64

d. R2 = 0.14, k = 4, N = 64

7.According to the University of Chicago, as men age, their cholesterol level goes up. A new drug (XAB) is being tested to determine if it can lower cholesterol in aging males and at what dose. The data for the first test subject is below:

Dose (mg) 2 3 5 6 8 10

Cholesterol level (mg/dL) 3101242011105220

a. Plot the data and include a regression line in StatCrunch. Copy and paste your graph into your Word document for full credit.

b. What is the correlation coefficient r and what does it mean in this case?

c. What is the coefficient of determination and what does it mean in this case?

d. Is there a statistically significant correlation between dose and cholesterol level in this case?

e. What is the predicted cholesterol level for a person taking a dose of 4 mg? What about if they are not taking the drug at all (0 mg)?

a. r = 0.25

b. r = 0.33

c. r = 0.90

d. r = 0.14

2.For each coefficient of determination below, calculate the value of the correlation coefficient:

a. r2 = 0.54

b. r2 = 0.13

c. r2 = 0.29

d. r2 = 0.07

3.Suppose a researcher regressed surgical patients’ length of stay (dependent variable) in the hospital on a scale of functional ability measured 24 hours after surgery. Given the following, solve for the value of the intercept constant and write out the full regression equation:

Mean length of stay = 6.5days; mean score on scale = 33; slope = -0.10

4.Using the regression equation calculated in Exercise 3, compute the predicted value of Y (length of hospital stay) for patients with the following functional ability scores:

a. X = 42

b. X = 68

c. X = 23

d. X = 10

5.Use the regression equation below for predicting graduate GPA for the three presented cases.

Y′ = -1.636 + 0.793(undergrad GPA) + 0.004(GREverbal) – 0.0009(GREquant)

+0.009(Motivation)

Subjectundergrad GPAGREverbalGREquantMotivation

1 2.9 560 540 55

2 3.2 550 590 65

3 3.4 600 550 70

6.Using the following information for R2, k, and N, calculate the value of the F statistic for testing the overall regression equation and determine whether F is statistically significant at the 0.05 level:

a. R2 = 0.13, k = 5, N = 120

b. R2 = 0.53, k = 5, N = 30

c. R2 = 0.28, k = 4, N = 64

d. R2 = 0.14, k = 4, N = 64

7.According to the University of Chicago, as men age, their cholesterol level goes up. A new drug (XAB) is being tested to determine if it can lower cholesterol in aging males and at what dose. The data for the first test subject is below:

Dose (mg) 2 3 5 6 8 10

Cholesterol level (mg/dL) 3101242011105220

a. Plot the data and include a regression line in StatCrunch. Copy and paste your graph into your Word document for full credit.

b. What is the correlation coefficient r and what does it mean in this case?

c. What is the coefficient of determination and what does it mean in this case?

d. Is there a statistically significant correlation between dose and cholesterol level in this case?

e. What is the predicted cholesterol level for a person taking a dose of 4 mg? What about if they are not taking the drug at all (0 mg)?

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