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Using the regression data below: Ignoring uncertainty regarding the coefficient estimates. In other words, assume your demand exactly equals the demand specified by your coefficient

Using the regression data below:

Ignoring uncertainty regarding the coefficient estimates. In other words, assume your demand exactly equals the demand specified by your coefficient estimates. Your memo should contain the following information:

  1. Give a recommendation on which of Market 1 or 2 to enter.
  2. Assuming only a single price can be set, state what price should be charged in each of the markets and how price should vary with the advertising budget. State what level of profit you expect from each of the two markets. Please note under this demand specification, using the single-pricing markup rule can be difficult since the demand elasticity changes as we move along the demand curve. As such, you will likely bebetter off performing a "brute-force" analysis. In other words, calculating the profits at a variety of relevant advertising/price/etc. levels.
  3. Discuss the value (if there is any) of doing additional market research to learn what prices other firms are charging in Market 2. Give advice on whether this research should be conducted.
  4. Offer conclusions, for future reference and guidance, about what "kind" of market your firm should look to for subsequent market expansions based on your quantitative analysis.
Regression Statistics
Multiple R 0.981
R Square 0.962
Adjusted R Square 0.957
Standard Error 29493.745
Observations 48
ANOVA
df SS MS F Significance F
Regression 6 910215513269.525 151702585544.921 174.395 0.000
Residual 41 35665120548.788 869880988.995
Total 47 945880633818.312
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 282031.242 59886.492 4.709 0.000 161088.018 402974.467 161088.018 402974.467
Price -81266.483 9541.152 -8.517 0.000 -100535.231 -61997.735 -100535.231 -61997.735
Advertising 3.664 0.597 6.139 0.000 2.458 4.869 2.458 4.869
Competitor's Price 19969.543 8075.832 2.473 0.018 3660.069 36279.017 3660.069 36279.017
Income 0.052 1.293 0.041 0.968 -2.559 2.664 -2.559 2.664
Population 0.031 0.002 20.445 0.000 0.028 0.034 0.028 0.034
Time 1918.019 1951.702 0.983 0.331 -2023.523 5859.561 -2023.523 5859.561
Demand Specification
Qband=a+bPband+cA+dPcomp+eI+fPop+gT+u
Inputs
Market 1 Market 2
Price $5.49 $4.20
Compet Price $4.99 $3.70
Advertising $15,000.00 $15,000.00
Advertising 2 $7,500.00 $7,500.00
Income $20,000.00 $16,000.00
Population 2,010,000.00 5,500,000.00
Time 9 9
Cost $3.00 $3.00
Market 1 Market 2
Qband $71,494.17 $259,230.61
Gross Profit $392,503.01 $1,088,768.56
Operating Profit $163,020.49 $296,076.73
Comp Elasticity 1.39 0.29
Own Elasticity -6.24 -1.32
Income Elasticity 0.01 0.00
Advertisting Elasticity 0.77 0.21
Pop Elasticity 0.88 0.66
Time Elasticity 0.24 0.07
Marginal Cost $3 $3
Optimal Mark-Up 1.190824744 4.157936015
Optimal Pricing $3.57 $12.47
Profit Price w/ advertsiting at $7500 $4.52 $5.03
Profit Price w/ advertsiting at $15000 $4.70 $5.28
Profit w/ advertsiting at $7500 $179,225.21 $326,033.66
Profit w/ advertsiting at $15000 $218,095.06 $375,935.20

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