Work the following problems from your text:
1. Section 9.1, Page 507, #5
2. Section 9.1, Page 508, #11
3. Section 9.1, Page 509, #19
4. Section 9.1, Page 510, #23
5. Section 9.1, Page 511, #29
6. Section 9.2, Page 517, #9
7. Section 9.2, Page 519, #17
8. Section 9.2, Page 521, #31
9. Section 9.2, Page 521, #33
10. Section 9.2, Page 521, #35
11. Section 9.2, Page 522, #37
12. Section 9.2, Page 522, #38
13. Section 9.3, Page 531, #3
14. Section 9.3, Page 531, #9
15. Section 9.3, Page 533, #17
16. Section 9.3, Page 535, #33
17. Section 9.4, Page 540, #5 (see printout below)

The data for problem #5 on page 540 (above) were entered into Minitab with the following results. The variables y, x1 and x2 are as defined in the text.
The regression equation is:
y = -2518.36 +126.82 x1 + 66.36 x2

Predictor	Coefficient	SE Coef	t	p
Constant	-2518.36	434.98	-5.79	0.0004
x1	126.82	275.76	0.46	0.658
x2	66.36	43.13	1.54	0.162

s = 28.49; R-sq = 98.5%; R-sq(adj) = 98.1%

To provide another view, the data were also entered into STATCRUNCH as accessed from CourseCompass. The results of the calculation may be compared with those obtained using Minitab.