# Please let me know asap if you are unable to view documents so

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Please let me know asap if you are unable to view documents so that I can try to upload them again, so that I can make sure my work is submitted on time., thanks Attachment 1 Attachment 2 Attachment 3 Attachment 4 ATTACHMENT PREVIEW Download attachment Unit 7, Topic 26, Exercise 26-29.docx Life Expectancy Think about a country’s life expectancy as a response variable, and consider three explanatory variables: fertility rate (number of children per woman), gross domestic product (GDP, an indication of how vibrant a country’s economy is), and number of Internet users per 100 people. a. For each of these three explanatory variables, indicate whether you expect the association with life expectancy to be positive, negative, or virtually no association. Life expectancy vs. fertility rate: association Life expectancy vs. GDP: association Life expectancy vs. Internet users per 100 people: association b. Make a conjecture about which of these three explanatory variables will have the strongest association with life expectancy. will have the strongest association with life expectancy. Don’t show me this message again for the assignment Question Attempts ATTACHMENT PREVIEW Download attachment Unit 7, Topic 27, Exercise 27-20.docx Unit 7, Topic 27, Exercise 27-20 Muscle Fatigue Do women or men experience fatigue more quickly while exercising? To investigate this issue, researchers recruited healthy young adults to participate in a study (Hunter et al., 2004). The researchers first measured the strength of each person by the torque exerted at the wrist during a maximal voluntary contraction. Then they matched up each of the 10 men in the study with a woman of comparable strength (within 5% of the maximal torque exerted). Next, they asked each subject to complete a prescribed series of exercises with their elbow flexor muscles and elbow extensor muscles until they lacked the strength to continue. Researchers recorded how long it took before failure at this exercise task for each subject. a. Calculate the correlation coefficient between time until muscle fatigue for men and time until muscle fatigue for women. Round your answer to three decimal places. *1 b. Comment on what this correlation coefficient suggests about whether men and women of similar strength tend to have similar times until muscle fatigue. The correlation coefficient suggests there is between fatigue times. Don’t show me this message again for the assignment Answer *1: the absolute tolerance is +/-0.001 ATTACHMENT PREVIEW Download attachment Unit 7, Topic 28, Exercise 28-32.docx Kentucky Derby The Kentucky Derby is the most famous horse race in the world, held annually on the first Saturday in May at Churchill Downs race track in Louisville, Kentucky. This race has been called "The Most Exciting Two Minutes in Sports" because that’s about how long it takes for a horse to run its 1.25 -mile track. Consider the winning time (in seconds) for every year since 1896. a. For predicting winning time from year, the least squares line has intercept coefficient 259.4 seconds and slope coefficient -0.06915 seconds per year. Use this information to report the equation of the least squares line, using good statistical notation. Use "year" for the name of the predictor variable. b. Based on the following residual plot, comment on whether a straight line appears to be a reasonable model for the relationship between winning time and year. A straight line the best model for this relationship. Don’t show me this message again for the assignment Question Attempts: 0 of 5 used ATTACHMENT PREVIEW Download attachment Unit 7, Topic 29, Exercise 29-09.docx