USTAT217Q5F09W-solution

# USTAT217Q5F09W-solution - Statistics 217 B23/24 The...

This preview shows pages 1–2. Sign up to view the full content.

Statistics 217 – B23/24 Quiz Five April 3. 2009 The regression equation is INVESTMENT = - 1.52 + 0.262 INCOME Predictor Coef SE Coef T P Constant -1.516 1.041 -1.46 0.176 INCOME 0.26195 0.02703 9.69 0.000 S = 0.688420 R-Sq = 90.4% R-Sq(adj) = 89.4% Analysis of Variance Source DF SS MS F P Regression 1 44.517 44.517 93.93 0.000 Residual Error 10 4.739 0.474 Total 11 49.257 Unusual Observations Obs INCOME INVESTMENT Fit SE Fit Residual St Resid 4 45.1 8.900 10.298 0.280 -1.398 -2.22R R denotes an observation with a large standardized residual. Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 1 3.723 0.520 (2.564, 4.882) (1.800, 5.646)X 2 7.652 0.213 (7.178, 8.126) (6.047, 9.257) X denotes a point that is an outlier in the predictors. Values of Predictors for New Observations New Obs INCOME 1 20.0 2 35.0

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
(1) y ˆ = = - 1.516 + 0.26195 x (2) y ˆ =7.652. (3) y ˆ = 3.723 (4) Place more confidence in the prediction with x = 35. Because x = 20 is outside The interval [24, 45.3], the range of the observed values of
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 2

USTAT217Q5F09W-solution - Statistics 217 B23/24 The...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online