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Predicting home sales price. Refer to the data on sale prices and total appraised values of 76 residential properties recently sold in an upscale Tampa, Florida, neighborhood. The MINITAB simple linear regression printout relating sale price (y) to appraised property (market) value (x) is reproduced on the next page, followed by a MINITAB correlation printout.
(a) Find the coefficient of correlation between appraised property value and sale price on the printout. Interpret this value.
(b) Find the coefficient of determination between appraised property value and sale price on the printout. Interpret this value.
The cost to prepare the equipment for producing hot dogs is $66. Annual holding costs are 45 cents per hot dog. The factory operates 297 days a year.
A beverage company is trying to ?nd out the distribution of the breaking strength of their glass bottles. Fifty bottles are selected at random and tested for breaking strength, with the following results (in pounds per square inch):
question 1aaa furniture is a furniture manufacturer of desks and chairs. each desk uses 4 units of wood and each chair
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Can we conclude from this that most workers there earn between $25 and $35 per hour? Is this the right interpretation for the margin of error?
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A researcher is conducting proportionate stratified random sampling with a sample size of 250. Approximately how many people should be sampled from each stratum?
A local television station plans to drop four Friday
Can the following variables be correlated and, if so, would you expect the correlation to be positive or negative?- Height and weight of adults.
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