All Greens is a franchise store that sells house plants and lawn and garden supplies. Although All Greens is a franchise, each store is owned and managed by private Sh individuals. Some friends have asked you to go into business with them to open a new All Greens store in the suburbs of San Diego. The national franchise headquarters sent 8. you the following information at your request. These data are about 27 All Greens stores in California. Each of the 27 stores has been doing very well, and you would like to use the information to help set up your own new store. The variables for which we have data are detailed below. X1 = annual net sales, in thousands of dollars = number of square feet of floor display in store, in thousands of square feet X2 = value of store inventory, in thousands of dollars Sh 1.1 Хз X4 = amount spent on local advertising, in thousands of dollars X5 = size of sales district, in thousands of families X6 = number of competing or similar stores in sales district A sales district was defined to be the region within a 5 mile radius of an All Greens store. X2 Xз 294 X4 X5 8.2 231 3 8.2 11 156 2.2 232 6.9 4.1 12 10 0.5 149 3 4.3 15 519 5.5 600 12 16.1 Sh 7.5 437 4.4 567 10.6 14.1 487 4.8 571 11.8 12.7 4 299 3.1 512 8.1 10.1 10 195 2.5 347 7.7 8.4 12 20 1.2 212 3.3 2.1 15 68 0.6 102 4.9 4.7 570 5.4 788 17.4 12.3 1 Sh 3.5 428 4.2 577 10.5 14.0 464 4.7 535 11.3 15.0 3 15 0.6 163 2.5 2.5 14 65 1.2 168 4.7 3.3 11 98 1.6 151 4.6 2.7 10 398 4.3 342 5.5 16.0 4 161 2.6 196 7.2 6.3 13 Sh 9.3 397 3.8 453 10.4 13.9 497 5.3 518 11.5 16.3 528 12.3 615 278 16.0 6.5 5.6 99 0.8 2.8 14 0.5 1.1 142 3.1 1.6 12 347 3.6 461 9.6 11.3 341 3.5 382 9.8 11.5 5 Бh 6.0 507 5.1 590 12.0 15.7 400 8.6 517 7.0 12.0 8.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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(f) Suppose you and your business associates rent a store, get a bank loan to start up your business, and do a little research on the size of your sales district and the number of competing stores in the district. If x2 = 2.8, x3 = 250, x4 = 3.1, x5 = 7.3, and x6 = 2, use a computer to forecast x1 = annual net sales and find an 80% confidence interval for your forecast (if your software produces prediction intervals). (Use 2 decimal places.)

forecast  
lower limit  
upper limit  


(g) Construct a new regression model with x4 as the response variable and x1, x2, x3, x5, and x6 as explanatory variables. (Use 2 decimal places for the intercept, 4 for x1, 5 for x3, and 3 otherwise.)

x4 = + x1 + x2 + x3 + x5 + x6


Suppose an All Greens store in Sonoma, California, wants to estimate a range of advertising costs appropriate to its store. If it spends too little on advertising, it will not reach enough customers. However, it does not want to overspend on advertising for this type and size of store. At this store, x1 = 163, x2 = 2.4, x3 = 188, x5 = 6.6, and x6 = 10. Use these data to predict x4 (advertising costs) and find an 80% confidence interval for your prediction. (Use 2 decimal places.)

prediction  
lower limit  
upper limit  


At the 80% confidence level, what range of advertising costs do you think is appropriate for this store? (Round to nearest integer.)

lower limit $
upper limit $
All Greens is a franchise store that sells house plants and lawn and garden supplies. Although All Greens is a franchise, each store is owned and managed by private
Sh
individuals. Some friends have asked you to go into business with them to open a new All Greens store in the suburbs of San Diego. The national franchise headquarters sent
8.
you the following information at your request. These data are about 27 All Greens stores in California. Each of the 27 stores has been doing very well, and you would like to
use the information to help set up your own new store. The variables for which we have data are detailed below.
X1
= annual net sales, in thousands of dollars
= number of square feet of floor display in store, in thousands of square feet
X2
= value of store inventory, in thousands of dollars
Sh
1.1
Хз
X4 = amount spent on local advertising, in thousands of dollars
X5
= size of sales district, in thousands of families
X6 = number of competing or similar stores in sales district
A sales district was defined to be the region within a 5 mile radius of an All Greens store.
X2
Xз
294
X4
X5
8.2
231
3
8.2
11
156
2.2
232
6.9
4.1
12
10
0.5
149
3
4.3
15
519
5.5
600
12
16.1
Sh
7.5
437
4.4
567
10.6
14.1
487
4.8
571
11.8
12.7
4
299
3.1
512
8.1
10.1
10
195
2.5
347
7.7
8.4
12
20
1.2
212
3.3
2.1
15
68
0.6
102
4.9
4.7
570
5.4
788
17.4
12.3
1
Sh
3.5
428
4.2
577
10.5
14.0
464
4.7
535
11.3
15.0
3
15
0.6
163
2.5
2.5
14
65
1.2
168
4.7
3.3
11
98
1.6
151
4.6
2.7
10
398
4.3
342
5.5
16.0
4
161
2.6
196
7.2
6.3
13
Sh
9.3
397
3.8
453
10.4
13.9
497
5.3
518
11.5
16.3
528
12.3
615
278
16.0
6.5
5.6
99
0.8
2.8
14
0.5
1.1
142
3.1
1.6
12
347
3.6
461
9.6
11.3
341
3.5
382
9.8
11.5
5
Бh
6.0
507
5.1
590
12.0
15.7
400
8.6
517
7.0
12.0
8.
Transcribed Image Text:All Greens is a franchise store that sells house plants and lawn and garden supplies. Although All Greens is a franchise, each store is owned and managed by private Sh individuals. Some friends have asked you to go into business with them to open a new All Greens store in the suburbs of San Diego. The national franchise headquarters sent 8. you the following information at your request. These data are about 27 All Greens stores in California. Each of the 27 stores has been doing very well, and you would like to use the information to help set up your own new store. The variables for which we have data are detailed below. X1 = annual net sales, in thousands of dollars = number of square feet of floor display in store, in thousands of square feet X2 = value of store inventory, in thousands of dollars Sh 1.1 Хз X4 = amount spent on local advertising, in thousands of dollars X5 = size of sales district, in thousands of families X6 = number of competing or similar stores in sales district A sales district was defined to be the region within a 5 mile radius of an All Greens store. X2 Xз 294 X4 X5 8.2 231 3 8.2 11 156 2.2 232 6.9 4.1 12 10 0.5 149 3 4.3 15 519 5.5 600 12 16.1 Sh 7.5 437 4.4 567 10.6 14.1 487 4.8 571 11.8 12.7 4 299 3.1 512 8.1 10.1 10 195 2.5 347 7.7 8.4 12 20 1.2 212 3.3 2.1 15 68 0.6 102 4.9 4.7 570 5.4 788 17.4 12.3 1 Sh 3.5 428 4.2 577 10.5 14.0 464 4.7 535 11.3 15.0 3 15 0.6 163 2.5 2.5 14 65 1.2 168 4.7 3.3 11 98 1.6 151 4.6 2.7 10 398 4.3 342 5.5 16.0 4 161 2.6 196 7.2 6.3 13 Sh 9.3 397 3.8 453 10.4 13.9 497 5.3 518 11.5 16.3 528 12.3 615 278 16.0 6.5 5.6 99 0.8 2.8 14 0.5 1.1 142 3.1 1.6 12 347 3.6 461 9.6 11.3 341 3.5 382 9.8 11.5 5 Бh 6.0 507 5.1 590 12.0 15.7 400 8.6 517 7.0 12.0 8.
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