Correlation Study I 1. Determine whether or not there is a correlation between age and income in the United States. a. If so, what kind of correlation is it? 2. What data collection technique was used to gather the data for this correlation study? 3. What conclusions can be drawn about age and income, regarding their relationship? Explain your answer. 4. Does the data necessarily prove or disprove a causal link between age and income? Explain your answer 5. Based on the data from this experiment, the correlation coefficient has an r-value of 0.7. What does this mean? 6. What is probably the role of the experimenter in this experiment? 7. What type of questions are best to use to collect the specific data you need for this experiment? Explain your reasoning. Income in $10k intervals Correlation Study I Age in 5-year intervals AP Psychology College Board Unit Guide learning objectives: 1.F Morgan AP Teaching Correlation Study I A survey was taken in 2016 with over 2500 participants regarding annual gross income (income before taxes) in the U.S.; the subjects were an even mix of males and females from the L.A. basin in California. Participants were selected based on age in increments of 5 years, starting at age 20 (i.e., 20, 25, 30, 35, etc.). Participants anonymously shared their gross income from the previous year, and the data was averaged for each age group and rounded to the nearest thousand. Graph the data below on a scatterplot so as to determine whether or not there is a correlation between gross income & age in the United States. Age Group Average Income Age Group Average Income 20 $19,000 45 $54,000 25 $29,000 50 $56,000 30 $36,000 55 $61,000 35 $41,000 60 $64,000 40 $51,000 65 $66,000 AP Psychology College Board Unit Guide learning objectives: 1.F, 1.M Morgan AP Teaching