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.

Read the following description of a data set.Researchers at a sleep clinic want to know how watching television affects a person's ability to fall asleep. In a study, they measure the amount of time it takes subjects to fall asleep at night after watching television.The researchers note the number of minutes the subjects spent watching television in the evening, x, as well as the number of minutes it took them to fall asleep, y.The least squares regression line of this data set is:y=0.111x+4.364How many minutes does this line predict it will take a subject to fall asleep if they watch 175 minutes of television in the evening?Round your answer to the nearest integer. minutes

orWatch a videoFind the equation for the least squares regression line of the data described below.Judith isn't getting enough sleep and suspects it's due to playing too many video games before bed. To find out, she decided to track how much time she spends gaming.Over several days, Judith recorded how many hours of sleep she had gotten each night, x, as well as how many hours she had spent playing video games before bed, y.Hours of video games Hours of sleep0.7 100.9 101.1 52.6 53.3 4Round your answers to the nearest thousandth.

Critics of television often refer to the detrimental effects that all the violence shown on television has on children. However, there may be another problem. It may be that watching television also reduces the amount of physical exercise, causing weight gains.The following regression estimates show the relationship between the number of kilograms (in kgs) a child is overweight by, and the number of hours of television viewing per weekoverweight  =  0.55 +    0.13 hours (0.27)       (0.04)  Standard errors are shown in the brackets. The sample size is N=1800.Based on the regression results, how much does overweight change if the average number hours spent watching television is increased by 2 hours?Group of answer choicesIncrease by 0.26.Increase by 0.04.Increase by 0.13.Decrease by 0.13.

Interpret the least squares regression line of this data set.Playing video games makes Francesca so happy that she thinks it even helps her complete more schoolwork. Francesca's roommate Justine is skeptical, so over the next few days, Justine asks Francesca about her progress on her daily reading.For each day, Justine notes the number of minutes Francesca spends playing video games, x. She also takes the number of pages Francesca reads and divides it by the total number of pages assigned, y.Minutes playing video games Percentage of reading assignment103 59.56111 54.57112 35.28112 57.78117 32.95The least squares regression line for the data set is:y=–1.821x+250.135Use it to complete the following sentence:If Francesca spends an additional minute playing video games, the least squares regression line predicts her completion percentage drops by points.Submit

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.