Equation of the Regression Predicting 20X2 Sales

20X2_Sales = Intercept + A1 × 20X1_Sales + A2 × Sales_Employees + Residual

Visual Plot of the Regression Predicting 20X2 Sales of 20 Stores

Predicted 20X2 Sales (i.e., composite of all independent variables) 20 30 40 50 60 70 80 90 100 Actual 20X2 Sales 20 30 40 50 60 70 80 90 Actual Sales Regression Line Residual

Note: In auditing practice we would typically set the intercept to zero, but in this example—just to illustrate how regressions work—we let the model calculate it. The result is an intercept of 30, which represents the baseline level of 20X2 Sales when all predictors (i.e., independent variables) are zero. Importantly, it's the deviations from that baseline—that is, the residuals—that auditors focus on to flag potential misstatements.

Effect of Components

Component Change Effect
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Higher