ollowing estimated demand equation for shoes in the United States over the period 1929 to 1991 has been reported in the research. Variable Coefficients Standard Error t-value Intercept 19.575 Income per capita (X) 0.0289 (c) 9.3125 Price of the Shoes (P) -0.0923 0.05122 (b) Advertisement (A) 0.035 0.0152 2.324 R2 = 0.857 Using the above estimated regression table answer the following questions: Forecast the demand for shoes for the year 1962 if the forecast values of the independent/explanatory variable are those given in the following table. Year X P A 1962 1646 20 1000 Calculated the t-value of the Price of shoes (P). Calculate the Standard error of Income per capita (X). Are coefficients (X, P and A) statistically significant? Interpret the R2 of the model.
ollowing estimated demand equation for shoes in the United States over the period 1929 to 1991 has been reported in the research. Variable Coefficients Standard Error t-value Intercept 19.575 Income per capita (X) 0.0289 (c) 9.3125 Price of the Shoes (P) -0.0923 0.05122 (b) Advertisement (A) 0.035 0.0152 2.324 R2 = 0.857 Using the above estimated regression table answer the following questions: Forecast the demand for shoes for the year 1962 if the forecast values of the independent/explanatory variable are those given in the following table. Year X P A 1962 1646 20 1000 Calculated the t-value of the Price of shoes (P). Calculate the Standard error of Income per capita (X). Are coefficients (X, P and A) statistically significant? Interpret the R2 of the model.
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter9: Systems Of Equations And Inequalities
Section9.1: Systems Of Equations
Problem 49E
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Question
Following estimated demand equation for shoes in the United States over the period 1929 to 1991 has been reported in the research.
Variable
Coefficients
Standard Error
t-value
Intercept
19.575
Income per capita (X)
0.0289
(c)
9.3125
Price of the Shoes (P)
-0.0923
0.05122
(b)
Advertisement (A)
0.035
0.0152
2.324
R2 = 0.857
Using the above estimated regression table answer the following questions:
Forecast the demand for shoes for the year 1962 if the forecast values of the independent/explanatory variable are those given in the following table.
Year
X
P
A
1962
1646
20
1000
Calculated the t-value of the Price of shoes (P).
Calculate the Standard error of Income per capita (X).
Are coefficients (X, P and A) statistically significant?
Interpret the R2 of the model.
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