## Answers

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

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