(§i – 5)² (vi – 2 196000 i xi 15 yi 160 1 175204 1.450 2 13.5 220 193.260 370.948 2,116.000 3 16.5 140 157.147 284.024 1,156.000 4 14.5 190 181.223 52.172 256.000 17 140 151.129 523.083 1,156.000 6 16 160 163.166 117.376 196.000 7 13 190 199.279 639.028 256.000 1,218.638 1,392.558 8 18 150 139.091 576.000 12 200 211.317 676.000 10 15.5 190 169.185 23.184 256.000 Total 4,622.461 ▼ 6,840.000 ▼
(§i – 5)² (vi – 2 196000 i xi 15 yi 160 1 175204 1.450 2 13.5 220 193.260 370.948 2,116.000 3 16.5 140 157.147 284.024 1,156.000 4 14.5 190 181.223 52.172 256.000 17 140 151.129 523.083 1,156.000 6 16 160 163.166 117.376 196.000 7 13 190 199.279 639.028 256.000 1,218.638 1,392.558 8 18 150 139.091 576.000 12 200 211.317 676.000 10 15.5 190 169.185 23.184 256.000 Total 4,622.461 ▼ 6,840.000 ▼
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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
Transcribed Image Text:Complete the following worksheet and then use it to calculate the coefficient of determination.
(§i – 3)²
(vi – )?
i
xị
yi
160
1
15
175204
1.450
196000
2
13.5
220
193.260
370.948
2,116.000
3
16.5
140
157.147
284.024
1,156.000
4
14.5
190
181.223
52.172
256.000
17
140
151.129
523.083
1,156.000
6.
16
160
163.166
117.376
196.000
7
13
190
199.279
639.028
256.000
8.
18
150
139.091
1,218.638
576.000
9.
12
200
211.317
1,392.558
676.000
10
15.5
190
169.185
23.184
256.000
Total
4,622.461
6,840.000
The coefficient of determination (r2 ) is
According to the regression model, which of the following is the best estimate together with the 95
percent prediction interval of paint sales (in thousands of gallons) in a sales region where the
selling price is $12.50?
o 364.645 ± 2(16.649)
o 205.270 + 2(16.649)
o 205.270 + 2(2.948)
o 364.645 ± 2(2.948)
What is the price elasticity of demand at a selling price of $12.50?
o -0.05
o -0.51
o -0.73
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