Statistics Exercise V: Correlation and Regression Unless otherwise stated, use 5% (.05) as your alpha level (cutoff for statistical significance). #1.What information does a correlation coefficient convey? #2. State whether each of the following is an example of a positive correlation or a negative correlation.

1. Higher education level is associated with a larger annual income.
2. Increased testosterone is associated with increased aggression.
3. The smaller the class size, the more students believe they are receiving a quality education.
4. Rising prices of apples are associated with the sale of fewer apples.

#3.Which is the predictor variable (X) and which is the criterion variable (Y) for each of the following examples?

1. A researcher tests whether the size of an audience can predict the number of mistakes a student makes during a classroom presentation.
2. A military officer tests whether the duration of an overseas tour can predict the morale among troops overseas.
3. A social psychologist tests whether the size of a toy in cereal boxes can predict preferences for that cereal.

UseSPSSand the data file found in resources (DATA540.SAV) to answer the following questions. Round your answers to the nearest dollar, percentage point, or whole number. #4. What is the regression equation that would best predict relationship happiness (HAPPY) from the Lifestyle (L) score?

a. HAPPY = L - .143 b. HAPPY = .23L - 4.5 c. HAPPY = .42L + .23 d. HAPPY = 4.47 - .018L #5.The Lifestyle score (L) measures the degree to which a participant desires a luxurious lifestyle. The Dependency score (D) measures the degree to which a participant expects others to provide financial support. Compute the correlation between these two variables. Which of the statements below best describes the relationship? a. People who want a more frugal lifestyle tend to be more financially dependent. b. People who want a more luxurious lifestyle tend to be more financially dependent. c. People who want a more luxurious lifestyle tend to be less financially dependent. d. There is no relationship between desired lifestyle and financial dependency. #6.What is the Pearsonrcorrelation between participants' ages and the age of their partners (AGE1, AGE2)? a. .000 b. .413 c. .622 d. .822 #7. Look at the correlation between Risk-Taking (R) and Relationship Happiness (HAPPY). Use the standard alpha level of 5%. How would you describe the relationship? a. The relationship is non-significant. b. There is a significant negative relationship. c. There is a significant positive relationship. d. The correlation is zero. #8. If you randomly chose someone from this sample, what is the chance that they described their relationship as either Happy or Very Happy? a. 32% b. 37% c. 56% d. 69%

PRIMARY RESOURCES: These resources are required Website SPSS Statistics Grad (Standard Edition). https://studentdiscounts.com/spss.aspx If the link does not open, please copy and paste the link to your browser. Book Privitera, G. (2018). Statistics for the behavioral sciences. (3rd ed.). SAGE. ADDITIONAL RESOURCES: These resources must be used. File DATA 540.SAV. PSY 8740_Data540_Feb 2018.sav Book American Psychological Association (2020). Publication manual of the American Psychological Association. (7th ed.). Book Research Report. PSY 8540_ResearchReport_Jan 2019.docx File Using SPSS. PSY 8540_Using SPSS_Feb 2018.do