A regression was run to determine if there is a relationship between hours of TV watched per day (x) and the number of sit-ups a person can do (y). The results were: y = a+bx b = -0.79 a = 23.59 r2 = 0.6551
If a person watches 16 hours of television a day, predict how many sit-ups he can do. 10.95 Correct
What is the value of the correlation coefficient? Round to three decimal places. .809 - I need help with this. I did the square root of R2 and it was incorrect
A regression was run to determine if there is a relationship between hours of TV watched...
A regression was run to determine if there is a relationship between hours of TV watched per day () and number of sit ups a person can do (p). A regression for p as a function of t was run and the results of the regression were: yemxtb m-8.76 b-25.284 Use this to predict the number of situps a person who watches 8.5 hours of TV can do. Round your answer to 3 decimal places as needed
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=-0.949 b=30.119 r2=0.597529 r=-0.773 Assume the correlation is significant, and use this to predict the number of situps a person who watches 10 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 ( x ) and number of sit ups a person can do ( y ). The results of the regression were: y=ax+b a=-1.057 b=30.632 r2=0.657721 r=-0.811 Use this to predict the number of sit ups a person who watches 3 hours of TV can do, and please round your answer to a whole number: ________
A regression analysis was performed 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). The results of the regression were: y=ax+b a=-1.326 b=30.621 r2=0.6561 r=-0.81 Use this to predict the number of sit ups a person who watches 14 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=-1.179 b=22.006 r2=0.595984 r=-0.772 Use this to predict the number of situps a person who watches 5.5 hours of TV can do (to one decimal place)
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=-0.867 b=23.962 r2=0.702244 r=-0.838 Use this to predict the number of situps a person who watches 9.5 hours of TV can do (to one decimal place)
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=-1.263 b=21.291 r2=0.5776 r=-0.76 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)
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=-0.622 b=30.666 r2=0.868624 r=-0.932 Use this to predict the number of situps a person who watches 6.5 hours of TV can do (to one decimal place)
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=-1.193 b=28.861 r2=0.763876 r=-0.874 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 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=-0.659 b=32.254 r2=0.499849 r=-0.707 Use this to predict the number of situps a person who watches 11.5 hours of TV can do (to one decimal place)