In this chapter the dependent variable Y usually equals the sales of a product during a given time period.ĭue to its simplicity, univariate regression (as discussed in Chapter 9, “Simple Linear Regression and Correlation”) may not explain all or even most of the variance in Y. In causal forecasting, you try and predict a dependent variable (usually called Y) from one or more independent variables (usually referred to as X 1, X 2, …, X n). This chapter continues the discussion of causal forecasting as it pertains to this need. Using Multiple Regression to Forecast SalesĪ common need in marketing analytics is forecasting the sales of a product. Marketing Analytics: Data-Driven Techniques with Microsoft Excel (2014) Part III.
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