Regression Analysis: Y versus a The regression equation is = 67.2-0.0565 X Predi

Question

Regression Analysis: Y versus a The regression equation is = 67.2-0.0565 X Predictor Coef SE Coef Constant 67.231 5.046 13.32 0.000 -0.05650 0.01027-5.50 0.000 S= 10.32 R-Sq 62.7% R-Sq (adj) = 60.6% = Analysis of Variance Source Regression Residual Error 18 1918.0 106.6 Total DE SS MS 1 3222.9 3222.9 30.25 0.000 19 5141.0 1.What is the result of the test of the slope of the regression model? Let = 0.10, why is the t ratio negative? 2. The correlation coefficient for these two variables is -.7918. Is this result surprising to you? Why or why not?

Explanation / Answer

1) if p-value is less than level of significance (alpha)

the test is significant

p-value for slope is 0.000 < 0.10

hence the variable is significant

since you did not describe what are X and Y , i can't comment of sign of t-tatio and correlation coefficient

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