a)
The predictor variable = odometer reading
The response variable =price
b)
correlation coefficient r = -0.85
c)
Here we have to calculate r2
So r2 = (correlation coefficient ) 2 = (-0.85)2 = 0.7225
r2 = 0.7225
it is the 72.25% of variability in price is explained by linear relationship with odometer reading.
27.75% of the variability is unexplained.
d)
The estimated regression y= -66.8609+17248.727*X
e)
we expect decrease in price of a used Toyota camry to decrease by 66.86 when the odometer increases by 1000 miles
Car dealers across North America use the Kelley Blue Book to help determine the value of...
4. The Toyota Camry is one of the best-selling cars in North America. The cost of a previously owned Camry depends on many factors, including the model year, mileage, and condition. To investigate the relationship between the car's mileage and the sales price for Camrys, the following data show the mileage and sale price for 19 sales (PriceHub web site, February 24, 2012) Miles (1,000s Price (S1,000s 16.2 29 36 47 63 73 87 92 101 110 28 59 68...
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