Read: Chapter 9 (1-4)

Work the following problems from your text:
Section 9.1, Page 481, #1
Section 9.1, Page 481, #7
Section 9.1, Page 481, #9
Section 9.1, Page 481, #13
Section 9.1, Page 482, #17
Section 9.1, Page 482, #19
Section 9.1, Page 482, #21
Section 9.1, Page 483, #27
Section 9.1, Page 484, #31
Section 9.1, Page 484, #33
Section 9.1, Page 484, #35

Section 9.2, Page 490, #1
Section 9.2, Page 490, #5
Section 9.2, Page 490, #15
Section 9.2, Page 491, #19
Section 9.2, Page 492, #23
Section 9.2, Page 493, #27
Section 9.2, Page 493, #29
Section 9.2, Page 494, #31
Section 9.2, Page 494, #33
Section 9.2, Page 494, #35
Section 9.2, Page 495, #37
Section 9.2, Page 495, #38
Section 9.2, Page 495, #45
Section 9.2, Page 495, #47

Section 9.3, Page 504, #1
Section 9.3, Page 504, #3
Section 9.3, Page 504, #7
Section 9.3, Page 505, #14
Section 9.3, Page 506, #17
Section 9.3, Page 507, #24
Section 9.3, Page 507, #27
Section 9.3, Page 508, #35
Section 9.3, Page 508, #37

Section 9.4, Page 512, #3
Section 9.4, Page 513, #5 (see printout below)
Section 5.4, Page 513, #7

The data for problem #5 on page 513 (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.