Interpreting Simple Linear Regression1. Linear correlation coefficient r = 0.7945562. Coefficient of Determination ( r square) 0.6313193. Standard Error of the estimate = 12.96684. SSR (Explained variation) = 5182.415. SSE ( Unexplained variation) = 3026.496. Predicted equation or equation of the regression line (Y predicted or hat) = 0.725983X + 16.55237. Level of Significance = 0.18. Critical Value= 0.378419 Question : Based on the linear correlation coefficient (r) in Line 1, the variables(X,Y) are positively correlated TrueFalse

Correlation: Correlation gives the direction and strength of the linear relationship between two…

Answered: Interpreting Simple Linear Regression…

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Interpreting Simple Linear Regression

1. Linear correlation coefficient r = 0.794556

2. Coefficient of Determination ( r square) 0.631319

3. Standard Error of the estimate = 12.9668

4. SSR (Explained variation) = 5182.41

5. SSE ( Unexplained variation) = 3026.49

6. Predicted equation or equation of the regression line (Y predicted or hat) = 0.725983X + 16.5523

7. Level of Significance = 0.1

8. Critical Value= 0.378419

Question : Based on the linear correlation coefficient (r) in Line 1, the variables(X,Y) are positively correlated
True

False