Use the least squares regression line of this data set to predict a value.Tyrone is a PR agent for an up-and-coming band. He wants to convince the band members that being active on social media is good for their careers. He claims that a large social media following typically translates into ticket sales. To prove his point, Tyrone looked up information about several successful bands.He 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.Followers (in millions) Hours4.8 775.3 825.6 468.2 249.0 48The least squares regression line of this data set is:y=–9.269x+116.388How long does this line predict it would take a band with 6.1 million followers to sell out a concert, on average?Round your answer to the nearest integer.

orWatch a videoInterpret the least squares regression line of this data set.Tyrone is a PR agent for an up-and-coming band. He wants to convince the band members that being active on social media is good for their careers. He claims that a large social media following typically translates into ticket sales. To prove his point, Tyrone looked up information about several successful bands.He 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.Followers (in millions) Hours4.8 775.3 825.6 468.2 249.0 48The correct least squares regression line for the data set is:y=–9.269x+116.388Use it to complete the following sentence: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.

Read the following description of a data set.Rod Diamond is a singer who appeals to an older demographic. For a comedy segment on a late night show, he asked random people on the street how old they were and how many of his songs they could name, if any.Rod noted the age of each person he spoke with, x, and the number of songs each could name, y.The least squares regression line of this data set is:y=0.032x+17.851If a person is 33 years old, how many Rod Diamond songs does this line predict they can name?Round your answer to the nearest integer. songs

Interpret the least squares regression line of this data set.A gym franchise was considering a television marketing campaign to increase its membership. The franchise's market researchers wanted to get a better sense of the television and exercise habits of the gym's target demographic. To begin, the market researchers surveyed some of the current members about how many hours they had spent watching television and exercising last month.Using the survey responses, the researchers compared the number of hours of television watched, x, to the number of hours of exercise, y, for each member.Hours of television Hours of exercise0.04 28.151.39 33.965.40 33.0424.16 20.6529.85 35.9337.44 7.7640.73 11.39The least squares regression line for the data set is:y=–0.466x+33.657Use it to complete the following sentence:If a gym member had watched one additional hour of television last month, the least squares regression line predicts that they would have spent hours less exercising that month.

A regression analysis between sales (in $1000) and advertising (in $100) yielded the least squares line = 75 +6x. This implies that if $800 is spent on advertising, then the predicted amount of sales (in dollars) is:Group of answer choices$487 500.$12 300.$123 000.$4875.

Use the least squares regression line of this data set to predict a value.Ruben thinks that text messaging is causing him to talk less on the phone. For one month, he examined his text message and call logs with his closest friends.For each friend, Ruben checked the number of text messages he sent to that friend, x, and the number of minutes they spoke on the phone, y.Text messages sent Minutes on the phone156 255167 201210 176263 157276 164350 164The least squares regression line of this data set is:y=–0.385x+277.516If Ruben sent his best friend Kayla 331 text messages in the past month, how many minutes does the line predict they talked on the phone?Round your answer to the nearest thousandth. minutes