Biologists have found that there is a relationship between the rate of a cricket's chirp and the temperature. A regression model is determined, with the predictor variable x = chirps per second and the response variable y = temperature (°F). The data on which the model is based is given below, along with output of the regression analyis. Chirps 13 15 16 17 17 18 19 19 19 Temperature 70 74 79 23 75.9 78.3 75 89 86.1 85 88.5 Correlation Coefficient: r=0.854 Least Squares Equation: 43.31 +2.09x a. Use the given regression line equation to predict the temperature (round to 1 decimal place) if the rate of cricket chirps is: • 22 chirp/sec, predicted temp= • 28 chirp/sec, predicted temp= 'F 'F b. Is one of these predictions more reliable than the other? The prediction corresponding to 28 chirps/sec is more reliable. The prediction corresponding to 22 chirps/sec is more reliable. O Both predictions are equally reliable since they are based on the same regression model.

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Question 8
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Biologists have found that there is a relationship between the rate of a cricket's chirp and the
temperature. A regression model is determined, with the predictor variable = chirps per second and the
response variable y = temperature (°F). The data on which the model is based is given below, along with
output of the regression analyis.
Chirps
13 15 16 17
Temperature 70 74 79 75.9
Correlation Coefficient: r = 0.854
Least Squares Equation: 43.31 + 2.09x
17 18 19 19 19 23
78.3 75 89 86.1 85 88.5
=
. 22 chirp/sec, predicted temp=
• 28 chirp/sec, predicted temp=
a. Use the given regression line equation to predict the temperature (round to 1 decimal place) if the rate
of cricket chirps is:
*F
*F
b. Is one of these predictions more reliable than the other?
The prediction corresponding to 28 chirps/sec is more reliable.
O The prediction corresponding to 22 chirps/sec is more reliable.
Both predictions are equally reliable since they are based on the same regression model.
0/
Transcribed Image Text:Question 8 < > Biologists have found that there is a relationship between the rate of a cricket's chirp and the temperature. A regression model is determined, with the predictor variable = chirps per second and the response variable y = temperature (°F). The data on which the model is based is given below, along with output of the regression analyis. Chirps 13 15 16 17 Temperature 70 74 79 75.9 Correlation Coefficient: r = 0.854 Least Squares Equation: 43.31 + 2.09x 17 18 19 19 19 23 78.3 75 89 86.1 85 88.5 = . 22 chirp/sec, predicted temp= • 28 chirp/sec, predicted temp= a. Use the given regression line equation to predict the temperature (round to 1 decimal place) if the rate of cricket chirps is: *F *F b. Is one of these predictions more reliable than the other? The prediction corresponding to 28 chirps/sec is more reliable. O The prediction corresponding to 22 chirps/sec is more reliable. Both predictions are equally reliable since they are based on the same regression model. 0/
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