Here is some fictional data for a set of cars showing the number of oil changes...

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Here is some fictional data for a set of cars showing the number of oil changes and the annual cost of repairs for each car. Oil changes 3 5 2 3 1 4 6 4 3 2 0 10. 7 Repair costs ($) 300 300 500 400 700 400 100 250 450 650 600|0|150| The above data should be in L1 & L2 of the calculator. Use the linear model created in # 20 to predict the annual repair costs for a car that has had 12 oil changes (one each month!). Enter it below, round your answer to two places past the decimal. Type a response Does the answer to # 21 make sense? Why might this have happened? (hint: what type of a prediction is this?) Is this a wise thing to do? Select THREE correct answers. No, it does not make sense to have negative repair bills. Interpolation is an okay thing to do since the residual plot showed random scatter. The prediction is within the range of the data values, it is called interpolation. Yes, it does make sense to have negative repair bills because the car is very well taken care of. The prediction is beyond the range of the data values, it is called extrapolation. Extrapolation is not a wise thing to do, predictions are risky. 6 Here is some fictional data for a set of cars showing the number of oil changes and the annual cost of repairs for each car. Oil changes 3 5 2 3 1 4 6 4 3 2 0 10. 7 Repair costs ($) 300 300 500 400 700 400 100 250 450 650 600|0|150| The above data should be in L1 & L2 of the calculator. Use the linear model created in # 20 to predict the annual repair costs for a car that has had 12 oil changes (one each month!). Enter it below, round your answer to two places past the decimal. Type a response Does the answer to # 21 make sense? Why might this have happened? (hint: what type of a prediction is this?) Is this a wise thing to do? Select THREE correct answers. No, it does not make sense to have negative repair bills. Interpolation is an okay thing to do since the residual plot showed random scatter. The prediction is within the range of the data values, it is called interpolation. Yes, it does make sense to have negative repair bills because the car is very well taken care of. The prediction is beyond the range of the data values, it is called extrapolation. Extrapolation is not a wise thing to do, predictions are risky. 6

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Excel output Regression Statistics Multiple R R Squar... View the full answer