For the following data: х 9. 5. 8. 7. 10 Find the regression equation for predicting Y from X. (Use two decimal places for SSx and SP, three for the slope, and two for the intercept.) ΣΧ SSx ΣΥ ΣΧΥ SP 2.000 3.00 Use the regression equation to find a predicted Y for each X. Then find the difference between the actual Y value and the predicted Y value for each individual, square the differences, and add the squared values to obtain SSresidual- (Use two decimal places.) (Y – Ý)2 6. 4. 10 9. Ssresidual = Calculate the Pearson correlation for these data. (Use two decimal places for SSy, three for r.) SSy Use r2 and SSy to compute SS,residual and the standard error estimate for the equation. (Use two decimal places.) SSresidual = standard error estimate = Does the regression equation account for a significant portion of the variance in the Y scores? Use a = .05 to evaluate the F-ratio. (Use two decimal places.) Source df MS Regression Residual Total Critical value for the F-ratio = (Use three decimal places.) F Distribution Numerator Degrees of Freedom - 6 Denominator Degrees of Freedom- 16 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8,0 9.0 10.0 11.0 12.0 Conclusion: The regression equation account for a significant portion of the variance in the Y scores. does not does