Khan Academy: Introduction to Residuals and Least Squares Regression

Build a basic understanding of what a residual is.

Less is best when looking at residuals. Scholars use an interactive to informally fit a linear regression line to data on a scatter plot. The interactive provides a correct best fit line with residuals and correlation coefficient to...

Introduction to sample slopes and using them to make confidence intervals or do a test about the population slope in least-squares regression.

The risk of contracting an infection in the hospital is low, but it does happen. Learn what risk factors have the highest correlation with hospital-acquired infections in the final lesson plan of a three-part series. Using the open...

An introduction to why we use t statistics.

Introduction to experiment design. Explanatory and response variables. Control and treatment groups.

Introduction to sampling distributions.

Introduction to Exponential Decay. Using the exponential decay formula to calculate k, calculating the mass of carbon-14 remaining after a given time, and calculating the time it takes to have a specific mass remaining. [9:19]

Introduction to the chi-square test for homogeneity.

Create your own scatter plot or use real-world data and try to fit a line to it. Explore how individual data points affect the correlation coefficient and best-fit line.