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Background Pizza One is one of over two dozen pizza parlors in the metropolitan area of Dayville, a mid-sized city in the U.S. Midwest. Pizza One prides itself on being the highest quality pizza in...

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Background
Pizza One is one of over two dozen pizza parlors in the metropolitan area of Dayville, a mid-sized city in the U.S. Midwest. Pizza One prides itself on being the highest quality pizza in the local market and advertises its fresh ingredients and
ick oven cooking process. Fifty percent of Pizza One’s business comes from students at the local university. The restaurant is within one mile from campus, approximately four miles from the city center, and within 10 miles of 70% of the population of metropolitan Dayville. It competes to some extent with all of the restaurants in Dayville, however, its biggest competitors are Papa’s Pizza and Cousin’s Pizza. Papa’s also makes a high quality pizza and competes with Pizza One for higher income locals in Dayville. Cousin’s is a much lower quality pizza and attracts much of the college crowd.
Management Directives
The Board of Pizza One wants to evaluate the pricing strategy for one-topping large pizzas and they think varying the price on a regular basis is an unnecessary hassle. The Board only wants to vary the price for one-topping pizzas based on whether or not the university is in session and whether or not a high-profile sporting event is occu
ing in a given week. You are given the attached data and variable definitions, along with the knowledge that the firm has $4,000 in weekly fixed costs. You are then asked to determine the price of one-topping large pizzas that will maximize profit under these four combined scenarios. This will require estimating demand and cost functions and making some assumptions. The following issues/questions should be addressed within your executive report and presentation.
1. What are your recommended prices for one-topping large pizzas (when the university is in and out of session and in weeks with and without high-profile sporting events) and what do you expect Pizza One’s weekly profit to be in these four scenarios?
a. If these prices are consistent with historical prices, explain why the board should accept your recommendation of only minor change.
. If these prices are not consistent with historical prices, explain why the board should accept your recommendation of radical change.
2. Explain the process you went through to determine your demand function.
a. Provide rationale for each of the variables included in the demand function.
. Explain whether the coefficient estimates are statistically significant and whether the sign on the coefficient estimates are what you expected.
3. Provide rationale for all of the assumptions that were made to determine the appropriate monthly rates.
4. Explain what changes could occur over the next year that would alter your recommended prices.
5. Do you agree with the board’s decision to only focus on the price for one-topping large pizzas and to only let this rate vary when the university is in and out of session and in weeks with and without high-profile sporting events? Explain your rationale and provide suggestions if you disagree.

Analysis
    Week    Q_P1    P_P1    P_PP    P_CP    Unempl    Session    Sports    Price (Assumed)    Session Qty    Sporting Event Qty    Qty Avg    Original Revenue    Predicted Revenue    Predicted TC    Profit    Profit Margin
    19    716    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    939    0    0    $15.13    613.27    601.38    607.32    10,024.00    9,188.77    6,593.56    2,595.21    28.24%            Price    Average Qty    Total Revenue    Total Cost    Total Profit    Profit Margin
    20    684    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    948    0    0    $15.13    615.01    602.37    608.69    9,576.00    9,209.52    6,599.54    2,609.98    28.34%        In Session & No Sporting Events    $ XXXXXXXXXX    568.12    $ 9,197.88    6,422.57    $ 2,775.30    30.17%
    21    594    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    902    0    0    $15.13    606.09    597.27    601.68    8,316.00    9,103.43    6,568.96    2,534.48    27.84%        In Session & Sporting Events    $ XXXXXXXXXX    653.21    $ 9,909.14    6,793.70    $ 3,115.44    31.44%
    22    675    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    888    0    0    $15.13    590.19    580.85    585.52    9,450.00    8,858.90    6,498.46    2,360.44    26.64%        Out of Session & Sporting Events    $ XXXXXXXXXX    632.05    $ 9,227.97    6,701.43    $ 2,526.54    27.38%
    23    700    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    937    0    0    $15.13    599.69    586.29    592.99    9,800.00    8,971.91    6,531.04    2,440.87    27.21%        Out of Session & No Sporting Events    $ XXXXXXXXXX    592.77    $ 8,968.58    6,530.08    $ 2,438.50    27.19%
    24    644    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    953    0    0    $15.13    602.79    588.06    595.43    9,016.00    9,008.81    6,541.68    2,467.13    27.39%
    25    551    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    983    0    0    $15.13    608.61    591.39    600.00    8,265.00    9,078.00    6,561.62    2,516.37    27.72%        Cu
ent Pricing            $ 8,905.27    $6,522.79    2,382.48    26.75%
    28    750    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    961    0    0    $15.13    583.32    636.64    609.98    11,250.00    9,229.06    6,605.17    2,623.88    28.43%
    29    552    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    996    0    0    $15.13    590.11    640.53    615.32    8,280.00    9,309.78    6,628.44    2,681.33    28.80%
    30    589    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    945    0    0    $15.13    567.03    620.00    593.52    8,835.00    8,979.91    6,533.35    2,446.56    27.24%
    31    149    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    906    0    0    $15.13    559.47    615.67    587.57    2,384.00    8,889.96    6,507.42    2,382.55    26.80%
    32    601    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    903    0    0    $15.13    558.89    615.34    587.11    9,616.00    8,883.04    6,505.42    2,377.62    26.77%
    33    559    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    889    0    0    $15.13    556.18    613.78    584.98    8,944.00    8,850.76    6,496.11    2,354.64    26.60%
    34    462    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    831    0    0    $15.13    544.93    607.34    576.14    7,392.00    8,716.99    6,457.55    2,259.44    25.92%
    51    312    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 8.00    725    0    0    $15.13    476.99    613.54    545.26    5,928.00    8,249.82    6,322.87    1,926.95    23.36%        SUMMARY OUTPUT- School In/Out Session
    3    650    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    814    1    0    $16.19    646.18    512.63    579.41    8,450.00    8,766.42    6,471.80    2,294.62    26.18%
    4    719    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    880    1    0    $16.19    658.97    519.96    589.47    9,347.00    8,918.63    6,515.68    2,402.95    26.94%        Regression Statistics
    6    838    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    799    1    0    $16.19    643.27    510.97    577.12    11,732.00    8,731.82    6,461.83    2,270.00    26.00%        Multiple R     XXXXXXXXXX
    7    730    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    857    1    0    $16.19    654.52    517.41    585.96    10,220.00    8,865.59    6,500.39    2,365.20    26.68%        R Square     XXXXXXXXXX
    8    793    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    871    1    0    $16.19    657.23    518.96    588.09    10,309.00    8,897.88    6,509.70    2,388.18    26.84%        Adjusted R Square     XXXXXXXXXX
    9    700    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    870    1    0    $16.19    636.02    566.54    601.28    9,100.00    9,097.37    6,567.21    2,530.16    27.81%        Standard E
or     XXXXXXXXXX
    10    594    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    889    1    0    $16.19    660.72    520.96    590.84    7,722.00    8,939.39    6,521.67    2,417.73    27.05%        Observations    52
    11    950    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    855    1    0    $16.19    619.92    550.01    584.97    12,350.00    8,850.53    6,496.05    2,354.48    26.60%
    15    742    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    956    1    0    $16.19    652.69    576.09    614.39    10,388.00    9,295.71    6,624.39    2,671.32    28.74%        ANOVA
    16    811    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    988    1    0    $16.19    645.70    564.78    605.24    11,354.00    9,157.27    6,584.48    2,572.79    28.10%            df    SS    MS    F    Significance F
    17    870    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    983    1    0    $16.19    644.73    564.22    604.48    13,050.00    9,145.74    6,581.15    2,564.58    28.04%        Regression    5     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX
    18    735    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 7.00    938    1    0    $16.19    636.01    559.23    597.62    11,025.00    9,041.95    6,551.23    2,490.72    27.55%        Residual    46     XXXXXXXXXX     XXXXXXXXXX
    35    489    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 8.00    842    1    0    $16.19    570.00    566.53    568.27    8,313.00    8,597.85    6,423.20    2,174.65    25.29%        Total    51     XXXXXXXXXX
    36    496    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 8.00    823    1    0    $16.19    553.13    549.55    551.34    8,432.00    8,341.78    6,349.38    1,992.40    23.88%
    37    522    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 8.00    815    1    0    $16.19    551.58    548.66    550.12    9,396.00    8,323.33    6,344.06    1,979.27    23.78%            Coefficients    Standard E
or    t Stat    P-value    Lower 95%    0.05    Coefficients
    38    533    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 8.00    805    1    0    $16.19    562.83    562.42    562.63    9,594.00    8,512.52    6,398.60    2,113.91    24.83%        Intercept     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX    significant
    39    515    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 8.00    797    1    0    $16.19    548.09    546.67    547.38    9,270.00    8,281.82    6,332.09    1,949.72    23.54%        P_P1     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX    not significant    Expected to be Negative- If price goes-up, qty demanded would go down
    40    566    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 8.00    752    1    0    $16.19    539.37    541.67    540.52    10,188.00    8,178.03    6,302.17    1,875.86    22.94%        P_PP     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX    not significant    Positive for Substitutes negative for complements- Complement would expect to be negative.
    43    402    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 9.00    754    1    0    $16.19    518.74    589.59    554.16    7,236.00    8,384.45    6,361.68    2,022.77    24.13%        P_CP     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX    not significant    Positive for Substitutes negative for complements- Complement would expect to be negative.
    44    413    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 9.00    745    1    0    $16.19    503.80    573.72    538.76    7,434.00    8,151.44    6,294.51    1,856.93    22.78%        Session     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX    significant    Assumed to be positive
    45    310    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 9.00    737    1    0    $16.19    502.25    572.83    537.54    5,580.00    8,132.99    6,289.19    1,843.80    22.67%        Unempl     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX     XXXXXXXXXX    not significant    Expected to be positive- positive for normal goods
    46    481    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 9.00    736    1    0    $16.19    515.25    587.59    551.42    9,139.00    8,342.93    6,349.71    1,993.22    23.89%
    47    289    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 9.00    740    1    0    $16.19    502.83    573.16    538.00    5,491.00    8,139.91    6,291.18    1,848.73    22.71%
    48    258    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 9.00    746    1    0    $16.19    503.99    573.83    538.91    5,160.00    8,153.75    6,295.17    1,858.58    22.79%        SUMMARY OUTPUT- Large Sporting Events
    49    167    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 9.00    736    1    0    $16.19    502.06    572.72    537.39    3,340.00    8,130.69    6,288.52    1,842.16    22.66%
    50    404    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 9.00    726    1    0    $16.19    500.12    571.61    535.86    7,676.00    8,107.62    6,281.87    1,825.75    22.52%        Regression Statistics
    1    775    $ XXXXXXXXXX    $ 9.00    $ 5.00    701    0    1    $14.60    637.91    633.26    635.59    9,300.00    9,616.41    6,716.84    2,899.57    30.15%        Multiple R     XXXXXXXXXX
    2    808    $ XXXXXXXXXX    $ 9.00    $ 5.00    739    0    1    $14.60    645.28    637.48    641.38    9,696.00    9,704.05    6,742.11    2,961.94    30.52%        R Square     XXXXXXXXXX
    26    671    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    988    0    1    $14.60    632.96    668.22    650.59    10,065.00    9,843.38    6,782.28    3,061.11    31.10%        Adjusted R Square     XXXXXXXXXX
    27    486    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    995    0    1    $14.60    634.31    669.00    651.65    7,290.00    9,859.53    6,786.93    3,072.60    31.16%        Standard E
or     XXXXXXXXXX
    52    430    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 8.00    725    0    1    $14.60    487.18    674.94    581.06    8,170.00    8,791.43    6,479.01    2,312.42    26.30%        Observations    52
    5    711    $ XXXXXXXXXX    $ XXXXXXXXXX    $ 6.00    881    1    1    $15.17    704.16    630.95    667.56    9,243.00    10,100.12    6,856.29    3,243.83    32.12%
Answered 1 days After Feb 05, 2022

Solution

Tanmoy answered on Feb 06 2022
121 Votes
Pizza One
3. Provide rationale for all of the assumptions that were made to determine the appropriate monthly rates
In the excel worksheet, the regression model analysis was used for determining the demand function with respect to this case. Q_P1 is considered as an independent variable apart from other variables like P_P1, P_PP, P_CP, sports, session, unemployment. The other variables were being considered as the dependent variables. The price P_P1signifies that if there is a price goes up, then the demand will fall. Hence, the average price of P_P1 is $15.62 which if rises, then the demand for pizza will become lower in both the university session and for sports. The average price of P_PP $12.88 and is considered positive for substitute goods but negative for complementary goods. Hence, if the average price of P_PP rises, the demand for the pizzas prepared by the...
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