Run Regression

mbond25
RunRegression.xlsx

Table 1

Table 1. Adam’s Pizza Regional Market demand 2013-1-2013-4
Unit Sales Price AdverEXP Comp Price Income Pop T
Dallas
2013-I 212667.4 7.59 17409.7 8.14 53263.1 5561441.6 1
2013-2 187045.1 8.569 22900.9 5.698 53941.8 5600497.1 2
2013-3 272479.9 6.831 15468.2 6.215 54629.3 5639826.5 3
2013-4 201584.9 8.019 18670.3 7.26 55325.6 5679432 4
2014-1 310329.8 7.557 20696.5 7.491 56031.8 5719315.8 5
2014-2 223735.6 7.106 15593.6 5.742 56745.7 5759480.1 6
2014-3 184191.7 7.887 18733 6.149 57469.5 5799926 7
2014-4 397844.7 6.292 15901.6 6.831 58202.1 5840656.8 8
Houston
2013-I 441985.5 7.227 29901.3 5.874 55501.6 10460392.8 1
2013-2 453543.2 7.282 30329.2 7.216 56210 10478695.7 2
2013-3 354169.2 8.602 37803.7 6.853 56926.1 10497030.5 3
2013-4 489759.6 7.227 29584.5 7.117 57652.1 10515397.2 4
2014-1 527684.3 7.601 33592.9 6.325 58386.9 10533795.8 5
2014-2 505316.9 7.128 29346.9 5.72 59131.6 10552226.3 6
2014-3 488444 7.084 29267.7 6.226 59885.1 10570689.8 7
2014-4 413650.6 8.569 36036 5.753 60649.6 10589185.2 8
San Antonio
2013-I 280723.3 7.777 21868 8.206 48673.9 6548062.4 1
2013-2 297969.1 7.26 21066.1 7.359 49294.3 6585561.4 2
2013-3 363298.1 6.677 17317.3 7.095 49923.5 6623276 3
2013-4 344833.5 7.194 19263.2 5.984 50559.3 6661206.2 4
2014-1 342650 6.93 18682.4 6.226 51203.9 6699354.2 5
2014-2 407858 6.391 17267.8 7.282 51857.3 6737720 6
2014-3 167571.8 8.8 24262.7 8.173 52518.4 6776305.8 7
2014-4 352884.4 7.359 19206 7.513 53188.3 6815112.7 8
OKC
2013-I 812636 6.831 47217.5 6.523 59321.9 14333266.2 1
2013-2 777716.5 7.854 55328.9 7.92 60078.7 14362849.6 2
2013-3 768956.1 5.973 41100.4 5.929 60844.3 14392493.5 3
2013-4 691721.8 8.03 55662.2 5.423 61619.8 14422199 4
2014-1 695127.4 8.36 58918.2 6.886 62405.2 14451966.1 5
2014-2 716278.2 7.964 53802.1 6.622 63201.6 14481793.7 6
2014-3 841636.4 7.766 54364.2 8.173 64006.8 14511684 7
2014-4 815500.4 6.809 48467.1 7.502 64823 14541635.9 8
Tulsa
2013-I 320950.3 6.358 15285.6 6.798 64854.9 3493760.6 1
2013-2 168319.8 7.524 30171.9 5.566 65682.1 3503033.6 2
2013-3 631934.6 7.062 34794.1 7.887 66519.2 3512331.9 3
2013-4 82935.6 8.316 43093.6 5.39 67367.3 3521654.4 4
2014-1 649209 6.171 36891.8 6.083 68226.4 3531002.2 5
2014-2 316923.2 8.338 59007.3 6.061 69096.5 3540374.2 6
2014-3 304280.9 8.338 66312.4 6.424 69977.6 3549771.5 7
2014-4 574690.6 6.215 58954.5 7.128 70869.7 3559193 8
Norman
2013-I 434845.4 6.886 24888.6 7.722 53588.7 5826807.8 1
2013-2 479713.3 6.325 24966.7 7.513 54271.8 5849834.1 2
2013-3 369971.8 7.546 28022.5 5.335 54963.7 5872952.8 3
2013-4 496453.1 7.073 28307.4 7.425 55664.4 5896161.7 4
2014-1 387399.1 7.139 26154.7 7.348 56373.9 5919463 5
2014-2 349054.2 8.338 30298.4 5.72 57093.3 5942855.6 6
2014-3 464700.5 6.787 26237.2 5.72 57821.5 5966341.7 7
2014-4 320059.3 8.745 33535.7 6.259 58558.5 5989920.2 8

Table 2

Table 2. Regression Estimate
Unit Sales Price AdverEXP Comp Price Income Pop T
212667.4 7.59 17409.7 8.14 53263.1 5561441.6 1
187045.1 8.569 22900.9 5.698 53941.8 5600497.1 2
272479.9 6.831 15468.2 6.215 54629.3 5639826.5 3
201584.9 8.019 18670.3 7.26 55325.6 5679432 4
310329.8 7.557 20696.5 7.491 56031.8 5719315.8 5
223735.6 7.106 15593.6 5.742 56745.7 5759480.1 6
184191.7 7.887 18733 6.149 57469.5 5799926 7
397844.7 6.292 15901.6 6.831 58202.1 5840656.8 8
441985.5 7.227 29901.3 5.874 55501.6 10460392.8 1
453543.2 7.282 30329.2 7.216 56210 10478695.7 2
354169.2 8.602 37803.7 6.853 56926.1 10497030.5 3
489759.6 7.227 29584.5 7.117 57652.1 10515397.2 4
527684.3 7.601 33592.9 6.325 58386.9 10533795.8 5
505316.9 7.128 29346.9 5.72 59131.6 10552226.3 6
488444 7.084 29267.7 6.226 59885.1 10570689.8 7
413650.6 8.569 36036 5.753 60649.6 10589185.2 8
280723.3 7.777 21868 8.206 48673.9 6548062.4 1
297969.1 7.26 21066.1 7.359 49294.3 6585561.4 2
363298.1 6.677 17317.3 7.095 49923.5 6623276 3
344833.5 7.194 19263.2 5.984 50559.3 6661206.2 4
342650 6.93 18682.4 6.226 51203.9 6699354.2 5
407858 6.391 17267.8 7.282 51857.3 6737720 6
167571.8 8.8 24262.7 8.173 52518.4 6776305.8 7
352884.4 7.359 19206 7.513 53188.3 6815112.7 8
812636 6.831 47217.5 6.523 59321.9 14333266.2 1
777716.5 7.854 55328.9 7.92 60078.7 14362849.6 2
768956.1 5.973 41100.4 5.929 60844.3 14392493.5 3
691721.8 8.03 55662.2 5.423 61619.8 14422199 4
695127.4 8.36 58918.2 6.886 62405.2 14451966.1 5
716278.2 7.964 53802.1 6.622 63201.6 14481793.7 6
841636.4 7.766 54364.2 8.173 64006.8 14511684 7
815500.4 6.809 48467.1 7.502 64823 14541635.9 8
320950.3 6.358 15285.6 6.798 64854.9 3493760.6 1
168319.8 7.524 30171.9 5.566 65682.1 3503033.6 2
631934.6 7.062 34794.1 7.887 66519.2 3512331.9 3
82935.6 8.316 43093.6 5.39 67367.3 3521654.4 4
649209 6.171 36891.8 6.083 68226.4 3531002.2 5
316923.2 8.338 59007.3 6.061 69096.5 3540374.2 6
304280.9 8.338 66312.4 6.424 69977.6 3549771.5 7
574690.6 6.215 58954.5 7.128 70869.7 3559193 8
434845.4 6.886 24888.6 7.722 53588.7 5826807.8 1
479713.3 6.325 24966.7 7.513 54271.8 5849834.1 2
369971.8 7.546 28022.5 5.335 54963.7 5872952.8 3
496453.1 7.073 28307.4 7.425 55664.4 5896161.7 4
387399.1 7.139 26154.7 7.348 56373.9 5919463 5
349054.2 8.338 30298.4 5.72 57093.3 5942855.6 6
464700.5 6.787 26237.2 5.72 57821.5 5966341.7 7
320059.3 8.745 33535.7 6.259 58558.5 5989920.2 8
Average
431109.04375 7.4105625 32124.0104166667 6.7042708333 58425.0333333333 7796206.9625

Table 3

Table 3. Table 1 organized to run a regression
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.9332964503
R Square 0.8710422641
Adjusted R Square 0.8521704004
Standard Error 74342.1531001383
Observations 48
ANOVA
df SS MS F Significance F
Regression 6 1530544479556.02 255090746592.67 46.1556036067 1.08098651598832E-16
Residual 41 226596984830.14 5526755727.5644
Total 47 1757141464386.16
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 582751.041002148 298463.960092735 1.9525005325 0.0577293818 -20009.1546053097 1185511.23660961 -20009.1546053097 1185511.23660961
X Variable 1 -122606.817220759 16422.3755968148 -7.4658393055 0.0000000037 -155772.477570504 -89441.1568710153 -155772.477570504 -89441.1568710153
X Variable 2 5.8376480213 1.6504937143 3.5369101808 0.0010212827 2.5044083439 9.1708876987 2.5044083439 9.1708876987
X Variable 3 29866.5894056245 13449.216013589 2.22069371 0.0319566003 2705.3466458652 57027.8321653838 2705.3466458652 57027.8321653838
X Variable 4 2.0427292284 3.7623050022 0.5429462064 0.5901065124 -5.5553998669 9.6408583237 -5.5553998669 9.6408583237
X Variable 5 0.0302580336 0.0039447998 7.6703597051 0.0000000019 0.0222913487 0.0382247185 0.0222913487 0.0382247185
X Variable 6 3097.0442262557 4993.1668128629 0.620256511 0.5385214252 -6986.8607245691 13180.9491770805 -6986.8607245691 13180.9491770805
Regression Equation
Unit Sales = 582751 - 122607 Price + 5.84 AdverEXP + 29867 Comp Price + 2.04 Income
+ 0.03026 Pop + 3097 T