1. BA 240 Yamasaki Solutions to Practice 5

2. DCSI Solutions to Practice 5 ( 14 pages)

3. DCSI Solutions to Practice 5 ( 14 pages)

4. DCSI Solutions to Practice 5 ( 14 pages)

5. DCSI Solutions to Practice 5 ( 14 pages)
Coefficient of determination
DCSI Solutions to Practice 5 ( 14 pages)

6. DCSI Solutions to Practice 5 ( 14 pages)
f. Partition Sum of Squares
SST = Sy2 – (Sy)2/n = Syy
SSE = Sy2 – b0Sy – b1Sxy
Regression (ANOVA table)
Source SS df MS F
Regression SSR MSR MSR/MSE
Error SSE N-2 MSE
Total SST N-1
SSE = ( )*(50) –(-.8114)*(2986) =
SST = Syy =
Regression (ANOVA table)
Source SS df MS F
Regression
Error
Total
DCSI Solutions to Practice 5 ( 14 pages)

7. DCSI Solutions to Practice 5 ( 14 pages)

8. DCSI Solutions to Practice 5 ( 14 pages)

9. DCSI Solutions to Practice 5 ( 14 pages)
Simple Linear Regression
Model:
To estimate regression line, use least squares method.
DCSI Solutions to Practice 5 ( 14 pages)

10. DCSI Solutions to Practice 5 ( 14 pages)

11. DCSI Solutions to Practice 5 ( 14 pages)
Example:
A real estate agent would like to predict selling price of a single family home based on size of house. She takes a random sample of 15 recently sold homes.
House size(100sq ft) Selling Price($1000)
DCSI Solutions to Practice 5 ( 14 pages)

12. DCSI Solutions to Practice 5 ( 14 pages)
Preliminary calculations:
Sx = Sx2 = Sxy =
Sy = Sy2 =
DCSI Solutions to Practice 5 ( 14 pages)

13. DCSI Solutions to Practice 5 ( 14 pages)

14. DCSI Solutions to Practice 5 ( 14 pages)