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Question: Correlation and regression. If the correlation between two variables x and y is r = 0, there is no straight-line relationship between the variables. It turns out that the correlation is 0 exactly when the slope of the least-squares regression line is 0. Explain why slope 0 means that there is no straight-line relationship between x and y. Start by drawing a line with slope 0 and explaining why in this situation x has no value for predicting y.
determine the values of c so that the following functions represent joint probability distributions of the random
Distinguish between average outgoing quality and acceptable quality level. Explain the meaning and importance of the average outgoing quality limit.
a random sample of 33 adult men had a mean weight of 182.5 pounds and a standard deviation of 22.5 pounds. find a 99
It is claimed that two of three Americans say that the chances of world peace are seriously threatened by the nuclear capabilities of other countries. If in a random sample of 400 Americans, it is found that only 252 hold this view, do you think t..
1. in 2005 the average gpa for students was 3.15. a sample in 2008 showed that the average gpa for students was 3.46.
Construct an estimate of the regression equation using the indicated variables. Produce the appropriate residual plots to determine if the polynomial function is the appropriate regression function for this data set.
The manufacturer would like to establish inventory levels such that there is only a 2.5 percent chance of running out of stock. Where should the manufacturer set the inventory levels?
Find a 98% con?dence interval for the mean P/E multiples. Interpret the result and state any assumptions you have made.
The following data are the median returns on investment, in percent, for 10 industries.- Find the median of these medians and their mean.
nutritional information on a packaged food product shows that the product contains 100 calories. a random sample of
Dr. Richmond, a psychologist, is studying the daytime television viewing habits of college students.
Conditional probabilities of the indicators conditional on future profitability are P(G80,000) = .1; P(G 100,000) = .2; P(G120,000) = .6; P(G140,000) = .3. Should Dollar purchase that forecast?
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