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16 votes
This table shows the rainfall (in centimeters) for a city in different months. The quadratic regression equation that models these data is y=-0.77x^2+6.06x - 5.9Using this model, the predicted rainfall for month 11 is about -32.4 centimeters. Does this prediction make sense? Why or why not?A. No, because you can’t have a negative amount of rainfall.B. Yes, because the rainfall is declining.C. Yes, because it is the result of substituting x=11D. No, because you can’t measure rainfall in centimeters

This table shows the rainfall (in centimeters) for a city in different months. The-example-1
User Blanca
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1 Answer

17 votes
17 votes

The quadratic regression equation model given is;


\begin{gathered} y=-0.77x^2+6.06x-5.9 \\ \text{where y is the rainfall measure in cm} \\ x\text{ is the month} \end{gathered}

For month 11, substituting x = 11 in the equation,


\begin{gathered} y=-0.77x^2+6.06x-5.9 \\ y=-0.77(11)^2+6.06(11)-5.9 \\ y=-93.17+66.66-5.9 \\ y=-32.41\operatorname{cm} \end{gathered}

The predicted rainfall in month 11 is -32.4cm

From the options given, the correct answer is option A because the prediction does not make sense because there can not be a negative amount of rainfall.

Therefore, option A is the right answer.

User TMSCH
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2.9k points
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