(§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
icon
Related questions
Topic Video
Question

Please help with unanswered questions.  Thank you!

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
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
Expert Solution
steps

Step by step

Solved in 2 steps with 1 images

Blurred answer
Knowledge Booster
Research Design Formulation
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman