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Week 4 Assignment new
Course: Intro to Biomedical Statistics (BST 322)
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Week 4 Assignment
1. (1pt) For each correlation coefficient below, calculate what proportion of variance is shared by the two
correlated variables:
a. r = 0.25 r2 = 0.0625
b. r = 0.33 r2 = 0.1089
c. r = 0.80 r2 = 0.6400
d. r = 0.14 r2 = 0.0196
2. (1pt) For each coefficient of determination below, calculate the value of the correlation coefficient:
a. r2 = 0.54 r = 0.7348
b. r2 = 0.13 r = 0.3606
c. r2 = 0.39 r = 0.6245
d. r2 = 0.07 r = 0.2646
3. (1pt) 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 = 6.5 days; mean score on scale = 33; slope = -0.10
Y = a + bx
6.5 = a – 0.10 (33)
6.5 = a – 3.3
9.8 = a
4. (1pt) 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
Y = a + bx
Y = 9.8 – 0.10 (42)
Y = 9.8 – 4.2
Y = 5.6
b. X = 68
Y = a + bx
Y = 9.8 – 0.10 (68)
Y = 9.8 – 6.8
Y = 3
5. (4 pts) Reexamine the Fellows Research Group data we used in week 2’s assignment (the excel file is
named “Fellows Mental Health Data” and is also in this week’s assignment area). Using this data set
again, perform a correlation analysis using the General Practitioner Assessment of Cognition score
(“GPCOG”) as a predictor of the Mental Health Survey Score (“MentalHlth”) of all subjects.
a. Plot the data with a regression line and perform a regression with the appropriate statistical test in
StatCrunch. Copy and paste your graph and regression output into your Word document for full credit.
Simple linear regression results:
Dependent Variable: Mental Health
Independent Variable: GPCOG
Mental Health = 43.036035 + 0.29198815 GPCOG
Sample size: 150
R (correlation coefficient) = 0.10496464
R-sq = 0.011017575
Estimate of error standard deviation: 10.879158
Parameter estimates:
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