Buy custom Analysis And Forecast of The Retail Sale
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| Topic: |
Business
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| Number of pages / Number of words: |
3 / 563 |
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It fit equally well. The following regression equation is established to this data analysis.
Log(Sales) = 0.0185t + 5.3298 (2)
From both above equations, the coefficient of Time is 0.0185, which implies that the department store sales were increased by approximately 1.85% per quarter throughout this 57-year period...
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The constant, 2.315 in Equation 2 is the forecast of sales at time 0, the fourth quarter 4 of the year l946, which is 206.39 million dollars in Equation 1.
The regression procedure is employed to estimate this exponential trend, after a logarithmic transformation of Sales. As shown in the figure 3, The R square is 0...
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