Helen is a PR agent for an up-and-coming band. She wants to convince the band members that being active on social media is good for their careers. She claims that a large social media following typically translates into ticket sales. To prove her point, Helen looked up information about several successful bands.

Question

Helen is a PR agent for an up-and-coming band. She wants to convince the band members that being active on social media is good for their careers. She claims that a large social media following typically translates into ticket sales. To prove her point, Helen looked up information about several successful bands.

She compared the number of social media followers (in millions), x, to the average number of hours it takes these bands to sell out a concert, y.
The least squares regression line of this data set is:
y = –57.472x+451.583

The least squares regression line predicts that for each additional million followers on social media, a band sells out a concert _________________________________
hours faster on average.

Answer 1

The least squares regression line predicts that for each additional million followers on social media, a band sells out a concert 57.472 hours faster on average.