In simple linear regression, r2is the

• A.correlation coefficient
• B.slope of the prediction line
• C.proportion of variance explained by the model
• D.standard error of the estimate

In a regression, the SSE = 400 and the SSR = 600. The r2is equal to ___.

• A.0.40
• B.0.60
• C.None of these answers are correct.
• D.1.5
• E.0.6667

In a simple linear regression, a slope value is calculated to be 10. The 95% confidence interval for this slope is calculated as ranging from 2 to 18. Which of the following is a correct interpretation of this information?

• A.We can conclude that thisis nota statistically significant predictor because the value of 0 (indicating no linear relationship) is not included in the confidence interval.
• B.We can conclude that thisis nota statistically significant predictor because the value of 10 is included in the interval.
• C.We can conclude that thisisa statistically significant predictor because the value of 10 is included in the interval.
• D.We can conclude that thisisa statistically significant predictor because the value of 0 (indicating no linear relationship) is not included in the confidence interval.