Bob's Burgers is a chain of hamburger fast food restaurants located all over the state of Alaska. Bob, the OM, has collected sales data from their famous Jalapeño Burger over the past 5 weeks, and wants to generate a linear regression equation to estimate potential sales for upcoming weeks. Jalapeño Burger Week Sales 1 354 345 367 4 380 413 Use the Summary Output below to determine what percentage of the behavior of Y can be explained by X? 2 3
Bob's Burgers is a chain of hamburger fast food restaurants located all over the state of Alaska. Bob, the OM, has collected sales data from their famous Jalapeño Burger over the past 5 weeks, and wants to generate a linear regression equation to estimate potential sales for upcoming weeks. Jalapeño Burger Week Sales 1 354 345 367 4 380 413 Use the Summary Output below to determine what percentage of the behavior of Y can be explained by X? 2 3
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![* 00
A uncw.instructure.com
Regression Statistics
Multiple R
0.91065
R Square
0.829283
Adjusted R
0.772377
Square
Standard
12.67412
Error
Observations 5
ANOVA
Significance
df
SS
MS
F.
14.57294 0.031628
F.
Regression
2340.9
2340.9
1.
Residual
481.9
160.6333
Total
2822.8
4.
Standard
Upper
Lower
Upper
Coefficients
t Stat
P-value
Lower 95%
Error
95%
Intercept
325.9
13.29273 24.51716 0.000149 283.5966
368.2034 283.5966 368.2034
X Variable
15.3
4.007909 3.817452 0.031628 2.545045 28.05495 2.545045 28.05495
82.93%
O 77.24%
O 91.06%
No relationship can be obtained from the data provided.
O 12.67%
« Previous
Next
MacBook Air
DD
F7
000
000
08
F3
F4
F5
F8
23
$
3.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F537cca7c-787a-475d-9aba-926e9a602de3%2F306801d1-2409-4c0d-b555-b2968a404c5c%2Flx3tdkk.jpeg&w=3840&q=75)
Transcribed Image Text:* 00
A uncw.instructure.com
Regression Statistics
Multiple R
0.91065
R Square
0.829283
Adjusted R
0.772377
Square
Standard
12.67412
Error
Observations 5
ANOVA
Significance
df
SS
MS
F.
14.57294 0.031628
F.
Regression
2340.9
2340.9
1.
Residual
481.9
160.6333
Total
2822.8
4.
Standard
Upper
Lower
Upper
Coefficients
t Stat
P-value
Lower 95%
Error
95%
Intercept
325.9
13.29273 24.51716 0.000149 283.5966
368.2034 283.5966 368.2034
X Variable
15.3
4.007909 3.817452 0.031628 2.545045 28.05495 2.545045 28.05495
82.93%
O 77.24%
O 91.06%
No relationship can be obtained from the data provided.
O 12.67%
« Previous
Next
MacBook Air
DD
F7
000
000
08
F3
F4
F5
F8
23
$
3.
![* 00
2.
3.
4-
uncw.instructure.com
Bob's Burgers is a chain of hamburger fast food restaurants located all over the state of Alaska. Bob, the
OM, has collected sales data from their famous Jalapeño Burger over the past 5 weeks, and wants to
generate a linear regression equation to estimate potential sales for upcoming weeks.
Jalapeño Burger
Week
Sales
354
1.
345
367
413
Use the Summary Output below to determine what percentage of the behavior of Y can be explained by
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.91065
R Square
0.829283
Adjusted R
0.772377
Square
Standard
12.67412
Error
Observations 5
ANOVA
Significance
df
MS
F.
14.57294 0.031628
1.
Regression
2340.9
2340.9
Residual
3
481.9
160.6333
Total
2822.8
4.
MacBook Air
DD
F7
D00
08
F9
F8
F2
F4
F5
&
V
23
3.
5.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F537cca7c-787a-475d-9aba-926e9a602de3%2F306801d1-2409-4c0d-b555-b2968a404c5c%2Fvb5gbf.jpeg&w=3840&q=75)
Transcribed Image Text:* 00
2.
3.
4-
uncw.instructure.com
Bob's Burgers is a chain of hamburger fast food restaurants located all over the state of Alaska. Bob, the
OM, has collected sales data from their famous Jalapeño Burger over the past 5 weeks, and wants to
generate a linear regression equation to estimate potential sales for upcoming weeks.
Jalapeño Burger
Week
Sales
354
1.
345
367
413
Use the Summary Output below to determine what percentage of the behavior of Y can be explained by
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.91065
R Square
0.829283
Adjusted R
0.772377
Square
Standard
12.67412
Error
Observations 5
ANOVA
Significance
df
MS
F.
14.57294 0.031628
1.
Regression
2340.9
2340.9
Residual
3
481.9
160.6333
Total
2822.8
4.
MacBook Air
DD
F7
D00
08
F9
F8
F2
F4
F5
&
V
23
3.
5.
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