Use the "printout" below to answer questions on multiple regression that follow. PG is price of gasoline (Sper gal). PO is the price of oil (Sper bbl). OG is the amount (1000 gal) of gasoline inventories. SUM is i during Summer, O otherwise, nu49. DEPENDENT VARIABLE: PG AQURCE DE SUM BOUARES MEAN ROUARE E VALUE PROB>IFI
Use the "printout" below to answer questions on multiple regression that follow. PG is price of gasoline (Sper gal). PO is the price of oil (Sper bbl). OG is the amount (1000 gal) of gasoline inventories. SUM is i during Summer, O otherwise, nu49. DEPENDENT VARIABLE: PG AQURCE DE SUM BOUARES MEAN ROUARE E VALUE PROB>IFI
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
Topic Video
Question
QUESTIONS ---- D AND F
![MULTIPLE REGRESSION
Use the "printout" below to answer questions on multiple regression that follow. PG
is price of gasoline (Sper gal). PO is the price of oil (Sper bbl).
(1000 gal) of gasoline inventories.
QG is the amount
SUM is 1 during Summer, O otherwise. n=49.
DEPENDENT VARIABLE: PG
SUM SQUARES
5707.43
11.62
SOURCE
MEAN SQUARE
F VALUE
PROB> |FI
DF
MODEL
3
1902.48
7366.6
0.0001
ERROR
45
.2582
TOTAL
48
6230.27
STANDARD ERROR Se (ROOT MSE)
.8914
2.894
R-SQUARE .879
ADJ R-S0 .873
DEP MEAN
PARAMETER ESTIMATES
PARAMETER
STANDARD
T STATISTIC
VARIABLE
DE
ESTIMATE
ERROR
INTERCEPT
19.926
19.071
-0.842
PO
1
.01083
0.002
5.520
0.037
0.901
-.07736
OG
SUM
-2.082
0.536
1
1
0.4831
1.410
49
DURBIN-NATSON DI
PG
(FOR NUMBER OF OBS.)
CORRELATION MATRIX:
PG
PO
.119
.023
OG
.257
SUM
PG
1.00
-.846
.00
.017
.018
1.00
.000
-.353
.337
PO
-119
.064
.023
.243
.257
.017
.064
.243
.237
1.00
-000
.436
-.353
.337
-.846
.237
.436
1.00
.000
SUM
OG
.018](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdf42e9d5-361d-463c-b2ab-87fecac02795%2Fe497d9a4-91d8-4677-8e85-01676402d12e%2Fyja3b7u_processed.png&w=3840&q=75)
Transcribed Image Text:MULTIPLE REGRESSION
Use the "printout" below to answer questions on multiple regression that follow. PG
is price of gasoline (Sper gal). PO is the price of oil (Sper bbl).
(1000 gal) of gasoline inventories.
QG is the amount
SUM is 1 during Summer, O otherwise. n=49.
DEPENDENT VARIABLE: PG
SUM SQUARES
5707.43
11.62
SOURCE
MEAN SQUARE
F VALUE
PROB> |FI
DF
MODEL
3
1902.48
7366.6
0.0001
ERROR
45
.2582
TOTAL
48
6230.27
STANDARD ERROR Se (ROOT MSE)
.8914
2.894
R-SQUARE .879
ADJ R-S0 .873
DEP MEAN
PARAMETER ESTIMATES
PARAMETER
STANDARD
T STATISTIC
VARIABLE
DE
ESTIMATE
ERROR
INTERCEPT
19.926
19.071
-0.842
PO
1
.01083
0.002
5.520
0.037
0.901
-.07736
OG
SUM
-2.082
0.536
1
1
0.4831
1.410
49
DURBIN-NATSON DI
PG
(FOR NUMBER OF OBS.)
CORRELATION MATRIX:
PG
PO
.119
.023
OG
.257
SUM
PG
1.00
-.846
.00
.017
.018
1.00
.000
-.353
.337
PO
-119
.064
.023
.243
.257
.017
.064
.243
.237
1.00
-000
.436
-.353
.337
-.846
.237
.436
1.00
.000
SUM
OG
.018
![What does the value of the intercept mean, in precise terms?
b.
What effect does oil price have on gasoline price? a -.05
How does the stock of gasoline affect gasoline price? a =.05
c.
d.
How does Sumner affect gasoline price? a =.05
How well does the equation explain gasoline prices? Be specific.
1. Are there any statistical problems with the regression indicated by the results?
Explain!
g.
Precisely discuss the neaning of the R-SQUARE](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdf42e9d5-361d-463c-b2ab-87fecac02795%2Fe497d9a4-91d8-4677-8e85-01676402d12e%2Fkdyt7su_processed.png&w=3840&q=75)
Transcribed Image Text:What does the value of the intercept mean, in precise terms?
b.
What effect does oil price have on gasoline price? a -.05
How does the stock of gasoline affect gasoline price? a =.05
c.
d.
How does Sumner affect gasoline price? a =.05
How well does the equation explain gasoline prices? Be specific.
1. Are there any statistical problems with the regression indicated by the results?
Explain!
g.
Precisely discuss the neaning of the R-SQUARE
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