Multiple Drivers: Forecasting with Coefficients & Elasticity
This lesson is part of the course
In this lesson
You use a fitted multiple regression to forecast next month and read price sensitivity as an elasticity.
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Lessons in this course
- Samples, Standard Error & the Normal Curve Locked
- Confidence Interval for a Mean: z and t Locked
- Survey Results: Confidence Interval for a Proportion Locked
- Hypothesis Test for a Mean: z, t and the p-Value Locked
- Comparing Two Groups: Difference of Means (Welch t-Test) Locked
- Correlation vs Causation: CORREL and the Hidden Driver Locked
- Simple Linear Regression: Prediction, Residuals & Standard Error Locked
- Multiple Drivers: Forecasting with Coefficients & Elasticity Locked