CH5 intro.docx - Item Chap 5 intro hw Score History...

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History for 'Chap 5 intro hw' Item: Chap 5 intro hw Score: 10/10 100% (Calculated) Due: Monday, June 12, 2017 11:30 PM Submitted: Monday, June 12, 2017 9:54 PM Answers: 1. (5.27) An owner of a home in the Midwest installed solar panels to reduce heating costs. After installing the solar panels, he measured the amount of natural gas used y (in cubic feet) to heat the home and outside temperature x (in degree days, where a day's degree-days are the number of degrees its average temperature falls below 65 degrees F) over a 23-month period. By looking at the equation of the least-squares regression line ( ŷ = 85 + 16 x ), you can see that the correlation between amount of gas used and degree-days is greater than zero. Can't tell without seeing the data. less than zero. The slope and the correlation always have the same sign. 2. (5.01) We expect a car’s highway gas mileage to be related to its city gas mileage (in miles per gallon, mpg). Data for all 1137 vehicles in the government’s 2013 Fuel Economy Guide give the regression line highway mpg = 6.785 + (1.033 × city mpg) for predicting highway mileage from city mileage.
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