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Stats lectures that help you learn (and smile a bit as well)

The outline below lists all the lectures for Section 10 of the Aspire Mountain Academy course in elementary statistics.  Once the lecture video becomes available, the title will become a link to the video and a brief description will appear below the title.

Section 10 - Correlation and Regression

Section 10.1 Correlation

Lecture Video 10.1.1: Definitions and Requirements

This mini-lecture provides a very general overview for the course, introduces you to the instructor, and explains what qualifies him to teach this course.

Lecture Video 10.1.2: Scatterplots

Lecture Video 10.1.3: The Linear Correlation Coefficient

Lecture Video 10.1.4: Explained Variation

Lecture Video 10.1.5: Hypothesis Testing for Linear Correlation

Section 10.2 Regression

Lecture Video 10.2.1: Definitions and Requirements

Lecture Video 10.2.2: Regression Equations and Predictions

Lecture Video 10.2.3: Marginal Change

Lecture Video 10.2.4: Outliers and Other Influential Points

Lecture Video 10.2.5: Residual Analysis

Lecture Video 10.2.6: The Least Squares Property

Lecture Video 10.2.7: Complete Regression Analysis

Section 10.3 Prediction Intervals and Variation

Lecture Video 10.3.1: Prediction Intervals

Lecture Video 10.3.2: Standard Error

Lecture Video 10.3.3: Explained and Unexplained Variation

Lecture Video 10.3.4: The Coefficient of Determination

Section 10.4 Multiple Regression

Lecture Video 10.4.1: Multiple Regression Equations

Lecture Video 10.4.2: Multiple Coefficients of Determination

Lecture Video 10.4.3: Comparing and Evaluating Multiple Regression Models

Lecture Video 10.4.4: Dummy Variables

Section 10.5 Nonlinear Regression

Lecture Video 10.5.1: Three Basic Rules of Nonlinear Regression

Lecture Video 10.5.2: Generic Nonlinear Regression Model Types

Lecture Video 10.5.3: Practical Applications of Nonlinear Regression Models

Lecture Video 10.5.4: Assumptions in StatCrunch (and How to Handle Them)

Lecture Video 10.5.5: Assumptions in StatCrunch (and How to Handle Them)

More video titles are on the way.  Your patience is appreciated.

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