Posted by **Gee** on Tuesday, September 18, 2012 at 11:59pm.

Pre study scores versus post-study scores for a class of 120 college freshman english students were considerated. The residual plot for the least squares regression line showed no pattern. The least square regression line was y = 0.2 + 0.9x with a correlation coefficient r = 0.76. What percent of the variation of post- study scores can be explained by the variation in pre-study scores? Based on the value of coefficient of determinartiton,we have ? Since the residual plot has no pattern we should? Suppose that one student had a pre-study score of 20 and a residual of 2.2?

## Answer This Question

## Related Questions

- statistics - Pre- study scores versus post- study scores for a class of 120 ...
- Statistics - In Professor White’s statistics course the correlation between the ...
- Math - Hello! Can you check my answers for these questions? Thank you in advance...
- Math - Hello! Can you check my answers for these 4 worksheet questions? Thank ...
- Math \ Algebra - Hello! Can you check my answers for these questions? Thank you ...
- Statistics - In a study, nine tires of a particular brand were driven on a ...
- Math - The least squares regression line is a unique line for each data set. ...
- Statistics:Correlation and Least Square Regression - Correlation and Least ...
- Stats - 4. A least squares regression line to predict a student’s Stat145 test ...
- Calcus, Math - class of 18 students. (7, 13), (9, 7), (14, 14), (15, 15), (10, ...

More Related Questions