1. What is the Pearson r correlation coefficient? (answer in 4 decimal places) 2. Which of the following is an appropriate conclusion for these samples? (input the letter of your answer)
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- For a random sample of 53 building supply stores in a chain, the correlation between annual sales per square meter of floor space and annual rent per square meter of floor space was found to be 0.37. Test the null hypothesis that these two quantities are uncorrelated in the population against the alternative that the popula- tion correlation is positive.The maximum weights (in kilograms) for which one repetition of a half squat can be performed and the jump heights (in centimeters) for 12 international soccer players are shown in the attached data table with a sample correlation coefficient r of 0.771. Remove the data entry for the international soccer player with a maximum weight of 180 kilograms and a jump height of 64 centimeters. Describe how this affects the correlation coefficient r.What is the most accurate interpretation of a significant correlation of rs = -.55 between annual CO2 emissions and annual average temperature (ranked from hottest year to coldest year)? Increased CO2 emissions are associated with lower annual average temperature Increased CO2 emissions are associated with higher annual average temperature Increased CO2 emissions lead to higher annual average temperature Increased CO2 emissions lead to lower annual average temperature If we conducted a study with a small group of randomly selected first- year psychology students and found a Pearson’s r of -.39 between distance from home to university (measured in km) and class attendance, what could we say about the relationship in the population? University students who live far from their homes are less likely to attend class There is no relationship between distance between home and university with class attendance University students who live far from their homes are more likely to attend…