For the first three semesters at college, Jane has been keeping track of the amount of time she spends studying for each test, and her mark on the test. For a similar time period, Don has been keeping track of the number of calories he consumes the day before he writes each test, and his mark on the test. Jane has calculated a Pearson r of + 0.71, and Don has calculated a Pearson r of +0.88. Indicate what these values tell us about the correlations in Jane’s and Don’s data sets. In which case is the cause-and-effect relationship likely to be stronger, and why?
Answer to relevant QuestionsIn Example 3.4a, no linear relationship was found between the amount of the most recent purchase and income in the survey of drugstore customers. Does this result from the survey prove that there is no relationship? Explain. A dry cleaning company has done some research into how customers rate its services, and whether the customer will use its services again. The data are summarized in Exhibit 4.18. What is the probability that a customer will ...Refer back to the information contained in Exercise 2 above. The company has 520 employees, of whom 372 are professionals. What is the probability that a randomly selected employee is in the professional classification? What ...An insurance company has collected data on the gender and marital status of 300 customers, shown in Exhibit 4.32 below. Suppose a customer is selected at random from this sample. a. What is the probability that the customer ...GeorgeConn has 100 employees. There are 60 men and 40 women. Of these, 25 of the women and 30 of the men have a Business diploma. One employee is randomly selected. What is the probability of the following outcomes? a. ...
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