Question

In: Statistics and Probability

Demand can be estimated with experimental data, time-series data, or cross-section data. In this case, cross-section...

Demand can be estimated with experimental data, time-series data, or cross-section data. In this case, cross-section data appear in the Excel file. Soft drink consumption in cans per capita per year is related to six-pack price, income per capita, and mean temperature across the 48 contiguous states in the United States.

Given the data, please construct the demand estimation for soft drink consumption in the United States by
(1) a multiple-linear regression equation, and
(2) a log-linear (exponential) regression equation (show Excel please)

TABLE 1. SOFT DRINK DEMAND DATA
State Cans/Capita/Yr 6-Pack Price ($) Income/Capita ($1,000) Mean Temp. (F)
Alabama 200 3.19 35.1 66
Arizona 150 2.99 45.9 62
Arkansas 237 2.93 29.7 63
California 135 3.59 67.5 56
Colorado 121 3.29 51.3 52
Connecticut 118 3.49 72.9 50
Delaware 217 2.99 75.6 52
Florida 242 3.29 48.6 72
Georgia 295 2.89 37.8 64
Idaho 85 3.39 43.2 46
Illinois 114 3.35 64.8 52
Indiana 184 3.19 54 52
Iowa 104 3.21 43.2 50
Kansas 143 3.17 45.9 56

Solutions

Expert Solution

(1) a multiple-linear regression equation,

The Excel regression output is:

0.768
Adjusted R² 0.698
R   0.876
Std. Error   34.313
n   14
k   3
Dep. Var. Cans/Capita/Yr
ANOVA table
Source SS   df   MS F p-value
Regression 38,917.5555 3   12,972.5185 11.02 .0016
Residual 11,773.9445 10   1,177.3944
Total 50,691.5000 13  
Regression output confidence interval
variables coefficients std. error    t (df=10) p-value 95% lower 95% upper
Intercept 315.9683
6-Pack Price ($) -160.9033 53.7244 -2.995 .0135 -280.6087 -41.1980
Income/Capita ($1,000) 1.1644 0.8234 1.414 .1877 -0.6703 2.9991
Mean Temp. (F) 5.4509 1.4716 3.704 .0041 2.1718 8.7299

The estimated regression equation is:
Cans/Capita/Yr = 315.9683 -160.9033*6-Pack Price ($) + 1.1644Income/Capita ($1,000) + 5.4509Mean Temp. (F)

(2) a log-linear (exponential) regression equation

The exponential regression between Cans/Capita/Yr and 6-Pack Price ($) is:

The estimated regression equation is:

y = 3.6085e-7E-04x

The exponential regression between Cans/Capita/Yr and Income/Capita ($1,000) is:

The estimated regression equation is:

y = 64.722e-0.002x

The exponential regression between Cans/Capita/Yr and Mean Temp. (F) is:

The estimated regression equation is:

y = 43.278e0.0016x


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