Least Squares Estimate Using a Monte Carlo Method

Requires a Wolfram Notebook System

Interact on desktop, mobile and cloud with the free Wolfram CDF Player or other Wolfram Language products.

Requires a Wolfram Notebook System

Edit on desktop, mobile and cloud with any Wolfram Language product.

In the frame on the right, an estimate is made of the true slope and intercept for each repeated random sample. It is well-known that the covariance between intercept and slope estimates is negative. In this frame, you can observe this well-known relationship by observing the general motion of the "blue dot" as you vary the sample size and repeated random samples.

Contributed by: Richard Simson (March 2011)
Open content licensed under CC BY-NC-SA


Snapshots


Details

detailSectionParagraph


Feedback (field required)
Email (field required) Name
Occupation Organization
Note: Your message & contact information may be shared with the author of any specific Demonstration for which you give feedback.
Send