Suppose Y is related to Rand S in the following nonlinear way: Y= aR'S In order to estimate the parameters a, b, and c, the equation must be trans- formed into the form: a. Twenty-six observations are used to obtain the following regression results: VARIABLE: LNY R-SQUARE F-RATIO P-VALUE ON F
Suppose Y is related to Rand S in the following nonlinear way: Y= aR'S In order to estimate the parameters a, b, and c, the equation must be trans- formed into the form: a. Twenty-six observations are used to obtain the following regression results: VARIABLE: LNY R-SQUARE F-RATIO P-VALUE ON F
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:2.
Suppose Y is related to R and S in the following nonlinear way:
Y= aR'S
In order to estimate the parameters a, b, and c, the equation must be trans-
a.
formed into the form:
Twenty-six observations are uscd to obtain the following regression results:
DEPENDENT VARIABLE:
LNY
R-SQUARE
F-RATIO
P-VALUE ON F
OBSERVATIONS: 26
0.3647
4.21
0.0170
PARAMETER
ESTIMATE
STANDARD
ERROR
VARIABLE
T-RATIO
P-VALUE
INTERCEPT
2.9957
0.3545
8.45
0.0001
LNR
2.34
0.87
2.69
0.0134
LNS
0.687
0.334
2.06
0.0517
b.
There are
degrees of freedom for the 1-test. At the 1% level of
significance, the critical 1-value for the test is
At the 1% level of significance, à
(is, is not) significant, 6
C.
(is, is not) significant, and è
(is, is not) signifi-
cant.
d.
The estimated value of a is

Transcribed Image Text:e.
The p-value for 6 indicates that the exact level of significance is
percent, which is the probability of
At the 1% level of significance, the critical value of the F-statistic is
(is, is not) significant at the
f.
The model as a whole
1% level.
If R = 12 and S= 30, the fitted (or predicted) value of Y is
%3D
g.
h.
The percentage of the total variation in the dependent variable not explained
by the regression is
percent.
If R increases by 14%, Y will increase by
percent.
A 6.87% increase in Y will occur if S
(increases, de-
j.
creases) by
percent.
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