Results of logistic regression for sales change variable in a 4-bin solution controlling for recency, frequency and including interaction
| Elements of the model | B | SE | Wald | df | Exp(B) |
|---|---|---|---|---|---|
| SKU | −0.01** | 0.001 | 44.496 | 1 | 0.991 |
| M4 | 0.17* | 0.072 | 5.836 | 1 | 1.190 |
| F4_HiLo | 0.54* | 0.219 | 6.144 | 1 | 1.720 |
| R4_HiLo | 0.35n.s. | 0.208 | 2.761 | 1 | 1.412 |
| F4_HiLo × R4_HiLo | 0.01n.s. | 0.302 | 0.001 | 1 | 1.010 |
| Constant | 0.34 | 0.226 | 2.351 | 1 | 1.413 |
| Elements of the model | SE | Wald | df | Exp( | |
|---|---|---|---|---|---|
| SKU | −0.01** | 0.001 | 44.496 | 1 | 0.991 |
| M4 | 0.17* | 0.072 | 5.836 | 1 | 1.190 |
| F4_HiLo | 0.54* | 0.219 | 6.144 | 1 | 1.720 |
| R4_HiLo | 0.35n.s. | 0.208 | 2.761 | 1 | 1.412 |
| F4_HiLo × R4_HiLo | 0.01n.s. | 0.302 | 0.001 | 1 | 1.010 |
| Constant | 0.34 | 0.226 | 2.351 | 1 | 1.413 |
Notes: SKU, Stock keeping units; SE, standard deviation of the coefficient; ns, not significant. Constant was omitted. *p<0.05; **p<0.01 (two-tailed)
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