Question: Table 3 - Store Data Store # Sales ($000s) Size (000s sq ft) Number of Product Lines Distance (mi) AA 250 3.0 125 0.6 BB
| Table 3 - Store Data | ||||||
| Store # | Sales ($000s) | Size (000s sq ft) | Number of Product Lines | Distance (mi) | ||
| AA | 250 | 3.0 | 125 | 0.6 | ||
| BB | 125 | 2.3 | 100 | 1.1 | ||
| CC | 300 | 3.9 | 170 | 1.2 | ||
| Instructions: Enter Regression Equation Variables from the table below. | ||||||
| Regression Equasion Varibles Table | ||||||
| y Profits | Intercept | b1 Coefficient | b2 Coefficient | b3 Coefficient | b4 Coefficient | |
| Y | -7.24067 | 0.025881 | 4.547711 | 0.011942 | 5.845695 | |
| Create functionality in Table 4 to compute the overall projected profits for each store using Table 3 data and your regression formula. | ||||||
| Table 4 - Profitabilty Calaculator | ||||||
| Store # | Intercept | Projected Profits Based on Sales ($000s) | Projected Profits Based on Size ($000s) | Projected Profits Based on Number of Product Lines ($000s) | Projected Profits Based on Distance ($000s) | Overall Projected Profits ($000s) |
| AA | ||||||
| BB | ||||||
| CC | ||||||
Location Choice:
Identify what new store that Casey Hardware should open and explain why in one sentence
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