How increase the price of good X by An econometrics expert from your firm used a linear demand specification to estimate the demand for its product and sent you a hard copy of the results. (LO6) a. Based on these estimates, write an equation that summarizes the demand for the firm's product. b. Which regression coefficients are statistically significant at the 5 percent level? c. When price is $10, what is the income elasticity for this product for an income level of 35?

ENGR.ECONOMIC ANALYSIS
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Chapter1: Making Economics Decisions
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SUMMARY OUTPUT
Excel
Exercises
Regression Statistics
Multiple R
R-Square
Adjusted R-Square
Standard Error
Observations
Analysis of Variance
Regression
Residual
Total
Intercept
Price of X
Income
7. An econometrics expert from your firm used a linear demand specification to estimate
the demand for its product and sent you a hard copy of the results. (LO6)
a. Based on these estimates, write an equation that summarizes the demand for the
0.38
0.14
0.13
20.77
150
How much Will y
increase the price of good X by 2 percell
Coefficients
58.87
-1.64
1.11
firm's product.
b. Which regression coefficients are statistically significant at the 5 percent level?
c. When price is $10, what is the income elasticity for this product for an income level
of 35?
Degrees of Freedom
2
147
149
Sum of Squares
10,398.87
63,408.62
73,807.49
Standard Error
15.33
0.85
0.24
8. Suppose the true in
Mean Square
5199.43
431.35
t-Statistic
3.84
-1.93
4.64
F
12.05
P-Value
0.00
0.06
0.00
Significance F
0.00
Lower 95%
28.59
-3.31
0.63
Upper 95%
89.15
0.04
1.56
1
Transcribed Image Text:SUMMARY OUTPUT Excel Exercises Regression Statistics Multiple R R-Square Adjusted R-Square Standard Error Observations Analysis of Variance Regression Residual Total Intercept Price of X Income 7. An econometrics expert from your firm used a linear demand specification to estimate the demand for its product and sent you a hard copy of the results. (LO6) a. Based on these estimates, write an equation that summarizes the demand for the 0.38 0.14 0.13 20.77 150 How much Will y increase the price of good X by 2 percell Coefficients 58.87 -1.64 1.11 firm's product. b. Which regression coefficients are statistically significant at the 5 percent level? c. When price is $10, what is the income elasticity for this product for an income level of 35? Degrees of Freedom 2 147 149 Sum of Squares 10,398.87 63,408.62 73,807.49 Standard Error 15.33 0.85 0.24 8. Suppose the true in Mean Square 5199.43 431.35 t-Statistic 3.84 -1.93 4.64 F 12.05 P-Value 0.00 0.06 0.00 Significance F 0.00 Lower 95% 28.59 -3.31 0.63 Upper 95% 89.15 0.04 1.56 1
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