Question

The Regression Coefficient (b)  = **The Y-Intercept (a) = The Adjusted Coefficient of Determination (R^2) = The...

 The Regression Coefficient (b)  = **The Y-Intercept (a) = The Adjusted Coefficient of Determination (R^2) = The Coeffefficient of Correlation (r ) = F-Ratio = Predict the Attendance Rate when there is a Welfare Rate of 15 Cases =
 Regression Statistics NOTE: Yellow Cells (NA = Not Available) have been intentionally provided without values. Multiple R 0.788542385 All of the information that you need to complete the questions is on this page. R Square NA All answers are to be on the YOUR ANSWERS HERE worksheet.. Adjusted R Square NA Standard Error 0.622829992 Observations 92 Your ANOVA df SS MS F Significance F Regression 1 57.39962601 NA NA 1.05069E-20 Residual 90 34.91254791 NA Total 91 92.31217391 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept NA 0.098517084 975.6544 6.6998E-183 95.92290199 96.31434444 Welfare -0.1220211 0.010031131 -12.16424 1.05069E-20 -0.141949674 -0.10209252

The Regression Coefficient (b) =  -0.1220211

The Y-Intercept (a) = tstat * Standard error =  975.6544 * 0.098517084 = 96.11862648

Coefficient of Determination, R2 = (0.788542385)2 = 0.621799093

The Adjusted Coefficient of Determination (R^2) = 1- (1-R2)*(N-1) / (N-k-1)

= (1-0.621799093)*(91) / (90) = 0.617596861

The Coeffefficient of Correlation (r ) =  0.788542385

F-Ratio = (SSregression / dfregression ) / (SSresidual / dfresidual )

= ( 57.39962601 / 1) / ( 34.91254791 / 90) =   147.9687577

Predict the Attendance Rate when there is a Welfare Rate of 15 Cases = 96.11862648 - 0.1220211*15 = 94.28830998

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