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# Regression for forecasting

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Using SPSS, MiniTab, or Excel and the data provided in the attached Excel spreadsheet see if sales (sales12x) is is influenced by the number of mailings (mail12x)and contacts( contacts)?

Explain any other correlations you may discover.

forcasting:

For all of the customers that have had no sales (zero) in the (sales12x) variable would increasing the number of mailings (mail12x) to these customers increase the number of sales? Why or why not? Can you predict the increase or decrease in sales and by how much?

Would assigning a sales rep (sales rep variable) to customers that have had no sales (sales12x) increase the number of sales? Why or why not? Can you predict the increase or decrease in sales and by how much?

Would assigning a sales rep and increase the number of mailings increase sales? Why or why not? Can you predict the increase or decrease in sales and by how much?

https://brainmass.com/statistics/regression-analysis/regression-forecasting-14325

## SOLUTION This solution is FREE courtesy of BrainMass!

After Plotting the scatter plot between sales and contacts there doesnt seem to be a concrete relation between the 2.
The best estimate is :
y = 1.9784x2 + 818.82x
R2 = 0.4948 ( see chart 1)

After Plotting the scatter plot between sales and mails there doesnt seem to be a concrete relation between the 2.
The best estimate is :
y = 18.991x2 - 197.38x + 587.19
R2 = 0.1151 ( see chart 2)

After observing the data , we cannot definitely say whether increasing the mails will increase the sales. It looks like the sales will not increase by merely increasing the mails.

Addition of a sales rep will increase the sales. ( see excel , when we observe the sales in regions where a rep is present). Though unifying it is not possible as we don't know the no of reps (just the ID's are given).

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