In Figure 5.9, we can see that the number of observations read are 75, but the number of observations used is only 65. This highlights the fact that we have entered null values for CPI for six months when we are interested in generating the forecast. The first variable of the spending to saving ratio calculated on a quarterly basis was entered in the model.
The variable is significant with a p-value of <0.0001:
Figure 5.9: Forward selection regression: step 1
The second variable entered in the model is the category of clothing and shopping spend by the bank's customers. The variable is again deemed significant and has ...
