Question: 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

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

What is meant by the slope of the regression line? Which number is the slope of the regression line?

All of the above

For every unit increase in X, the Y value will increase by .73 times of X.

0.72598

The slope of the regression line is the vertical change in Y ( dependent variable) for a unit change in the independent variable , X.

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