Interpretation of coefficients
The following table displays part of the output of the multiple linear regression model of the sales of this month on various independent variables.
Estimate | Std. Error | t value | Pr(>|t|) | |
---|---|---|---|---|
(Intercept) | -282.83 | 10.07 | -28.08 | 0.00 |
nItems | 0.15 | 0.02 | 7.02 | 0.00 |
nCats | -0.96 | 0.20 | -4.90 | 0.00 |
nPurch | 0.51 | 0.15 | 3.36 | 0.00 |
salesLast3Mon | 0.38 | 0.01 | 44.60 | 0.00 |
daysSinceLastPurch | 0.17 | 0.15 | 1.12 | 0.26 |
meanItemPrice | 0.23 | 0.09 | 2.46 | 0.01 |
meanShoppingCartValue | 0.26 | 0.03 | 9.86 | 0.00 |
customerDuration | 0.57 | 0.01 | 79.71 | 0.00 |
Take a look at the line for the meanItemPrice
. If we assume a level of significance of 0.05, which of the following is true? Note that all other variables are held constant. Make sure you choose the best answer.
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Machine Learning for Marketing Analytics in R
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