The results of the simple linear regression are provided below. y = 4.25 + 2.75x, SSxy = 5.15, SSx = 1.87 SSyy = 15.17, SSE = 1.0075 Calculate the value of r², the coefficient of determination. O 0.661 0.934 0.339 0.872

A regression was run to determine if there is a relationship between hours of tv watched per day (x) and number of sit-ups a person can do (y)

A multiple regression model is Y - 8.114 + 2.005X, - 0.774X, Which of the following values is the estimate for the X2 slope parameter? Select one. O 0.774 | 1.000 O 2.005 O 8.114

A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-1.223 b=22.907 r2=0.600625 r=-0.775 Use this to predict the number of sit ups a person who watches 5 hours of TV can do, and please round your answer to a whole number.

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-0.849 b=32.064 r2=0.614656 r=-0.784 Use this to predict the number of situps a person who watches 12 hours of TV can do (to one decimal place)

A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-1.152 b=30.418 r2=0.703921 r=-0.839      1. Use this to predict the number of sit ups a person who watches 2.5 hours of TV can do, and please round your answer to a whole number

Use the Regression tool on the accompanying wedding data, using the wedding cost as the dependent variable and attendance as the independent variable. Complete parts a through c. Click the icon to view the wedding data. X a. What is the regression model? Wedding Cost = +(xAttendance (Round to three decimal places as needed.) Wedding Attendance and Cost Wedding Cost 62700 Attendance 300 54000 350 48000 150 40000 200 36000 250 32000 150 31000 250 29500 300 27000 250 27000 200 26000 150 25000 200 23000 200 22000 200 22000 200 21000 200 20000 100 19000 150 19000 200 18000 150 17000 100 16000 100 13000 150 8000 50 5000 50 Wedding Cost Attendance

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.091 b=30.228 r2=0.698896 r=-0.836 Use this to predict the number of situps a person who watches 3.5 hours of TV can do (to one decimal place)

A regression analysis was performed to determine if there is a relationship between hours of TV watched per day () and number of sit ups a person can do (y). The results of the regression were: y=ax+b a3D-0.838 b=28.783 es 72-0.784996 r=-0.886 rences borations Use this to predict the number of sit ups a person who watches 1 hours of TV can do, and please round your answer to a whole number. gle Drive ce 365 Submit Question adent Course aluations ere to search Chp ins prt sc delete f12 f9 f10 fa f5 f6 +1 f4 backspa & $4 8. 6 3 O E R T II 5

A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-1.364 b=32.282 r2=0.398161 r=-0.631 Use this to predict the number of situps a person who watches 4 hour(s) of TV can do, and please round your answer to a whole number.