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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