Principles of Finance · free preview

Predictions and Prediction Intervals

A regression point prediction inherits uncertainty from the line's estimation and the scatter around it, and prediction intervals quantify that uncertainty, widening away from the data's center to give honest ranges for forecasts.

1. From line to forecast

From line to forecast

2. The interval's behavior

The interval's behavior

3. Worked reading

Worked reading

4. Honest forecasting as the course's close

Honest forecasting as the course's close

5. The point forecast's limits

Why is a regression's point forecast, the fitted value at a chosen x, not enough for decision making?

6. The two uncertainties inside a prediction

Which two sources of uncertainty does a prediction interval combine?

7. Why intervals widen at the edges

Why is the prediction interval narrowest near the mean of x and widest at the extremes?

8. Confidence versus prediction interval

What distinguishes a confidence interval for the regression line from a prediction interval for an individual outcome?

9. Reading the funnel

A prediction interval for sales at average advertising runs 40 to 55 units, and at double average spending runs 30 to 70. What does the comparison tell management?

10. Beta's interval and the hedge

A stock's estimated beta is 1.2 with a prediction-style interval from 1.05 to 1.35. Why does this matter for a portfolio manager hedging market exposure?

11. The flaring shape's name

What one-word term, also a laboratory cone, names the shape of prediction intervals around a regression line? Answer in lowercase.

12. The narrow interval's target

What two-word phrase names the quantity a confidence interval prices, in contrast to the individual outcome the prediction interval prices? Answer in lowercase.

13. The scatter's surrogate

What one-word term names the typical residual size, the standard deviation of the scatter around the line, that drives interval width? Answer in lowercase.

14. The substitution forecast

What two-word term names the fitted value y-hat obtained by plugging an x into the estimated line? Answer in lowercase.

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