Question

A wildlife biologist is interested in the relationship between the number of chirps per minute for crickets (y) and temperature. Based on the collected data, the least squares regression line is y-hat = 10.53 + 3.41x, where x is the number of degrees Fahrenheit by which the temperature exceeds 50 degrees. Which of the following best describes the meaning of the slope of the least squares regression line? For each increase of one chirp per minute, there is an estimated increase in temperature of 10.53deg F. The slope has no meaning because the units of measure for x and y are not the same. For each increase of one chirp per minute, there is an estimated increase in temperature of 3.41deg F. For each increase in temperature of 1deg F, the estimated number of chirps per minute increases by 10.53. For each increase in temperature of 1deg F, the estimated number of chirps per minute increases by 3.41.

          A wildlife biologist is interested in the relationship between the number of chirps per minute for crickets (y) and temperature. Based on the collected data, the least squares regression line is y-hat = 10.53 + 3.41x, where x is the number of degrees Fahrenheit by which the temperature exceeds 50 degrees. Which of the following best describes the meaning of the slope of the least squares regression line? 

For each increase of one chirp per minute, there is an estimated increase in temperature of 10.53deg F.
The slope has no meaning because the units of measure for x and y are not the same.
For each increase of one chirp per minute, there is an estimated increase in temperature of 3.41deg F.
For each increase in temperature of 1deg F, the estimated number of chirps per minute increases by 10.53.
For each increase in temperature of 1deg F, the estimated number of chirps per minute increases by 3.41.

A wildlife biologist is interested in the relationship between the number of chirps per minute for crickets (y) and temperature. Based on the collected data, the least squares regression line is y-hat = 10.53 + 3.41x, where x is the number of degrees Fahrenheit by which the temperature exceeds 50 degrees. Which of the following best describes the meaning of the slope of the least squares regression line?

For each increase of one chirp per minute, there is an estimated increase in temperature of 10.53deg F.
The slope has no meaning because the units of measure for x and y are not the same.
For each increase of one chirp per minute, there is an estimated increase in temperature of 3.41deg F.
For each increase in temperature of 1deg F, the estimated number of chirps per minute increases by 10.53.
For each increase in temperature of 1deg F, the estimated number of chirps per minute increases by 3.41.

Added by Jennifer W.

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