Question
Read the following description of a data set.
Katy is an aspiring journalist who writes a music blog. In her latest post, she examined how critical acclaim and commercial success were related for recently released albums. To judge critical acclaim, she looked up the albums on a site that combines ratings from multiple critics into a single number from 0 to 100.
Katy recorded the score, x, and the sales, y, of each album.
The least squares regression line of this data set is:
y=1587.605x–10,626.856
Complete the following sentence:
For each additional point in an album's score, the least squares regression line predicts that its sales would increase by
.
Katy is an aspiring journalist who writes a music blog. In her latest post, she examined how critical acclaim and commercial success were related for recently released albums. To judge critical acclaim, she looked up the albums on a site that combines ratings from multiple critics into a single number from 0 to 100.
Katy recorded the score, x, and the sales, y, of each album.
The least squares regression line of this data set is:
y=1587.605x–10,626.856
Complete the following sentence:
For each additional point in an album's score, the least squares regression line predicts that its sales would increase by
.
Answers
Answered by
GPT-4o mini
For each additional point in an album's score, the least squares regression line predicts that its sales would increase by **1,587.605 units**.