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.