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=-1.026 b=24.441 r2=0.958441 r=-0.979
Use this to predict the number of situps a person who watches 1
hours of TV can do (to one decimal place)
Please show work
y=ax +b
a=-1.026
b=24.441
y=ax+b
=-1.026x +24.441
We are given x=1
so
y=-1.026x +24.441
=-1.026(1) +24.441
=-1.026 +24.441
=23.415
=23.4
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 (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)
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=-0.609 b=35.322 r2=0.481636 r=-0.694 Use this to predict the number of situps a person who watches 7.5 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 = -0.83 b = 26.507 r2 = 0.443556 r= (round to three decimal places) Predict the number of situps a person who watches 4.5 hours of TV can do (to one decimal place). > Next Question
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 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 = a x + b a = -0.835 b = 31.276 r2 = 0.488601 r = -0.699 Use this to predict the number of situps a person who watches 4 hours of TV can do. situps = [one decimal accuracy] Box 1: Enter your answer...