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

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  1. 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

     
    1. True
    2. False
       
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