Chapter 4 Exercises
David M. Lane
All material presented in chapter 4
1. Describe the relationship between variables A and C. Think of things these variables could represent in real life. (Ch. 4.A)
2. Make up a data set with 10 numbers that has a positive correlation. (Ch. 4.B & Ch. 4.E)
3. Make up a data set with 10 numbers that has a negative correlation. (Ch. 4.B & Ch. 4.E)
4. If the correlation between weight (in pounds) and height (in feet) is 0.58, find: (a) the correlation between weight (in pounds) and height (in yards) (b) the correlation between weight (in kilograms) and height (in meters) (Ch. 4.D)
5. Would you expect the correlation between High School GPA and College GPA to be
higher when taken from your entire high school class or when taken from only the top 20 students? Why?
6. For a certain class, the relationship between the amount of time spent studying and the test grade earned was examined. It was determined that as the amount of time they studied increased, so did their grades. Is this a positive or negative association? (Ch. 4.A)
7. For this same class, the relationship between the amount of time spent studying and the amount of time spent socializing per week was also examined. It was determined that the more hours they spent studying, the fewer hours they spent socializing. Is this a positive or negative association? (Ch. 4.A)
8. (a) Find the deviation scores for Variable A that correspond to the raw scores of 2 and 8.
(b) Find the deviation scores for Variable B that correspond to the raw scores of 5 and 4.
(c) Just from looking at these scores, do you think these variables are positively or negatively correlated? Why?
(d) Now calculate the correlation. Were you right?
9. Students took two parts of a test, each worth 50 points. Part A has a variance of 25, and Part B has a variance of 36. The correlation between the test scores is 0.8. (a) If the teacher adds the grades of the two parts together to form a final test grade, what would the variance of the final test grades be? (b) What would the variance of Part A - Part B be? (Ch. 4.G)
10. True/False: The correlation in real life between height and weight is r=1. (Ch. 4.B)
11. True/False: It is possible for variables to have r=0 but still have a strong association. (Ch. 4.A & Ch. 4.B)
12. True/False: Two variables with a correlation of 0.3 have a stronger linear relationship than two variables with a correlation of -0.7. (Ch. 4.B)
13. True/False: After polling a certain group of people, researchers found a 0.5 correlation between the number of car accidents per year and the driver's age. This means that older people get in more accidents. (Ch. 4.B)
14. True/False: The correlation between R and T is the same as the correlation between T and R. (Ch. 4.D)
15. True/False: To examine bivariate data graphically, the best choice is two side by side histograms. (Ch. 4.A)
16. True/False: A correlation of r=1.2 is not possible. (Ch. 4.B)
Questions from Case Studies:
The following questions are from the Angry Moods (AM) case study.
17. (AM#21) What is the correlation between the Control-In and Control-Out scores? (Ch. 4.E)
18. (AM#22) Would you expect the correlation between the Anger-Out and Control-Out scores to
be positive or negative? Compute this correlation. (Ch. 4.A & Ch. 4.E)
The following question is from the Flatulence (F) case study.
19. (F#4) Is there are relationship between the number of male siblings and embarrassment
in front of romantic interests? Create a scatterplot and compute r. (Ch. 4.A & Ch. 4.E)
The following questions are from the Stroop (S) case study.
Create a scatterplot showing "colors" on the Y-axis and "words" on the X-axis. (Ch. 4.A)
21. (S#7) Compute the correlation between "colors" and "words." (Ch. 4.E)
22. Sort the data by color-naming time. Choose only the 20 fastest color-namers and create a scatterplot. (Ch. 4.A)
(a) What is the new correlation? (Ch. 4.E)
(b) What is the technical term for the finding that this correlation is smaller than the correlation for the full dataset? (Ch. 4.F)
The following question is from the Animal Research (AR) case study.
23. (AR#11) What is the overall correlation between the belief that animal research is wrong
and belief that animal research is necessary? (Ch. 4.E)
The following question is from the ADHD Treatment (AT) case study.
24. (AT#8) What is the correlation between the participants' correct number of responses
after taking the placebo and their correct number of responses after taking 0.60
mg/kg of MPH?
4) (a) 0.58
8) (a) 2: -4
9) (a) 109
17) r = 0.72
19) r = -0.30
(larger numbers for the "romint" variable mean less embarrassment)
21) r = 0.70
Please answer the questions: