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Read the following description of a data set. Chloe read in a science magazine that the frequency of cricket chirps varies according to outdoor temperature. She decided to test this by making several one-minute recordings of synchronized crickets near her house.She wrote down the outdoor temperature (in Celsius), $x$ , at the time of recording. Afterward, she slowed down the recording to count the number of chirps, $y$ , the crickets had made.The least squares regression line of this data set is: $y = 11.151x - 257.472$ Complete the following sentence: If the temperature increases by one degree Celsius, the least squares regression line predicts $\_\_$ additional cricket chirps per minute.

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Interpret regression lines

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Q. Read the following description of a data set. Chloe read in a science magazine that the frequency of cricket chirps varies according to outdoor temperature. She decided to test this by making several one-minute recordings of synchronized crickets near her house.She wrote down the outdoor temperature (in Celsius),

x

, at the time of recording. Afterward, she slowed down the recording to count the number of chirps,

y

, the crickets had made.The least squares regression line of this data set is:

y = 11.151x - 257.472

Complete the following sentence: If the temperature increases by one degree Celsius, the least squares regression line predicts

\_\_

additional cricket chirps per minute.

Identify coefficient of $x$ : Identify the coefficient of $x$ in the regression equation to determine the change in chirps per degree Celsius increase.
Calculate additional chirps: Calculate the additional chirps when the temperature increases by $1$ degree Celsius.

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