Mathematics, 05.05.2020 16:01 335716hdjsngrhrs
The accompanying data represent the weights of various domestic cars and their gas mileages in the city. The linear correlation coefficient between the weight of a car
and its miles per gallon in the city is r=-0.964. The least squares regression line treating weight as the explanatory variable and miles per gallon as the response
variable is y=-0.0070x + 44.9668. Complete parts (a) and (b)
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(a) What proportion of the variability in miles per gallon is explained by the relation between weight of the car and miles per gallon?
The proportion of the variability in miles per gallon explained by the relation between weight of the car and miles per gallons is
___% (Round to one decimal place as needed)
Answers: 2
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The accompanying data represent the weights of various domestic cars and their gas mileages in the c...
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