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1. A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a
1. 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=bx+a b=0.754 a=29.229 R2=0.364816 a) Use this to predict the number of situps a person who watches 1 hours of TV can do (to 3 decimal places) ? b) What is the value of the correlation coefficient (to 3 decimal places) ?
2. Given the following simple linear regression equation: y=167x67
Match each of the following descriptions with its terms/values:
- estimated slope______
- independent variable______
- estimated value of the dependent value_____
- estimated y-intercept________
- a) 67
- b) 167
- c) x
- d) y
- e) y
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