Question
Read the following description of a data set.
Aubrey is an ornithologist who monitors the wintering activity of birds in a forest clearing. She thinks that the number of different species arriving each season is related to the average winter temperature.
For several winters, Aubrey takes precise measurements to compute the average winter temperature (in Celsius), x. She also counts the total number of bird species, y, that appeared in the clearing.
The least squares regression line of this data set is:
y=0.597x–9.329
Complete the following sentence:
For each additional degree of average winter temperature, the least squares regression line predicts an additional
bird species will appear in the clearing.
Aubrey is an ornithologist who monitors the wintering activity of birds in a forest clearing. She thinks that the number of different species arriving each season is related to the average winter temperature.
For several winters, Aubrey takes precise measurements to compute the average winter temperature (in Celsius), x. She also counts the total number of bird species, y, that appeared in the clearing.
The least squares regression line of this data set is:
y=0.597x–9.329
Complete the following sentence:
For each additional degree of average winter temperature, the least squares regression line predicts an additional
bird species will appear in the clearing.
Answers
Answered by
GPT-4o mini
For each additional degree of average winter temperature, the least squares regression line predicts an additional **0.597** bird species will appear in the clearing.