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Fitting of simple linear regression equation.
A researcher wishes to determine whether a person's age is related to the number of hours he or she jogs per week. The data for the sample are shown below. Predict the number of hours jogged per week (provided there is a significant relationship) for a 50-year-old person.
Age x
34
22
48
56
62
Hours Jogged y
5.5
7
3.5
3
1
Based on surveys conducted in 1989 and 1999, a researcher compared the proportion of high school age females interested in a career in science in 1989 with the proportion in 1999. He concluded that the proportions were not significantly different ..
Assume that correlation coefficient between 2 variables is nearly zero. What does this say about relationship between them?
At the 0.05 level of significance, is there evidence of a significant relationship between the age groups and where people primarily get their news? If so explain the relationship.
Would the Kruskal-Wallis be an appropriate statistical procedure to test this Research Question (RQ)? Please explain your answer.
What would you predict the price per share to be if 95 million shares were offered?
You listen to radio station for 1 hour, at arbitrarily selected time, and carefully observe that amount of advertising time is equal to 7 minutes. Compute z-score for this amount of advertising time.
Prepare a mixed integer programming model for this problem.
Drawing the standard normal curve and indicating the area representing the probability and
IS there any evidence that a freshman's chances to graduate may depend upon what kind of high school the student attended? Describe.
Can we conclude there is a difference in mean number of surgeries performed by hospital or by day of week?
Determine the dependent variable(s)? Determine the value of the statistic? Write down the name of one variable not mentioned in this study that one might wish to control for.
Compute the effect size with gender as the grouping variable and ADDSC as the dependent variable.
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