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________

1. a) 67
2. b) 167
3. c) x
4. d) y
5. e) y