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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