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The data below shows mini tab output for the relationship between the number of cricket chirps per minute and temperature.

The regression equation for this relationship is:

$Temp = 44+0.993x$

Predictor Coef St Dev t Ratio P
Constant 44.013 1.827 24.09 0
Number 0.99340 0.06523 15.23 0
S=1.536 R-Sq = 95.9% R-sq(adj) = 95.5% -- --



Which of the following statements is true concerning the least squares regression line?

A

One would predict the temperature to be about $0.993$ degrees if there are no chirps.

B

One would expect the temperature to be about $0.993$ degrees higher for every extra chirp per minute heard.

C

The least squares regression line has a slope of about $44$ degrees.

D

The least squares regression line will have a negative slope.

E

One would expect about $44$ chirps per minute if it were $100$ degrees outside.

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