Regression analysis of the factors predicting the number of units sold per store per week
4 Pages622 Words281 Views
university of michigan
Added on 2021-10-27
About This Document
ANOVA df SS MS F Significance F Regression 8 11477979 1434747 353.6647 0 Residual 1377 5586216 4056.801 Total 1385 17064195 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 298.4881 16.18309 18.44444 4.62E-68 266.7419 330.2343 Average Retail Price -28.5354 3.952153 -7.22021 8.56E-13 -36.2
Regression analysis of the factors predicting the number of units sold per store per week
university of michigan
Added on 2021-10-27
ShareRelated Documents
End of preview
Want to access all the pages? Upload your documents or become a member.
Regression Analysis for Predicting Units Sold per Store per Week
|4
|626
|200
Data Analytics And Business Intelligence
|9
|578
|42
ECON6000 Economic Principles and Decision Making
|8
|926
|66
Development of a Multiple Regression Model for Sales Estimation
|12
|1908
|297