What is linear regression? When we see a relationship in a scatterplot, we can use a line to summarize the relationship in the data. We can also use that line to make predictions in the …

Scatter plots are a handy tool that allow us examine how two sets of quantitative data are—or aren't—correlated with one another. Learn how to set up a scatter plot, and how to measure …

We use scatter plots to explore the relationship between two quantitative variables, and we use regression to model the relationship and make predictions. This unit explores linear regression …

While the results may be similar in certain cases, they represent distinct approaches to linear regression estimation.

There is a formula for calculating the sum of squares of residuals, which involves squaring each residual and then summing them up. The formula is commonly used in regression analysis to …

Positive and negative linear associations from scatter plots Estimating equations of lines of best fit, and using them to make predictions Interpreting slope and y-intercept for linear models

- [Instructor] Liz's math test included a survey question asking, how many hours students that spent studying for the test. The scatter plot and trend line below show the relationship between …

In linear regression, a residual is the difference between the actual value and the value predicted by the model (y-ŷ) for any given point. A least-squares regression model minimizes the sum of …

Estimating with linear regression (linear models) Estimating equations of lines of best fit, and using them to make predictions Interpreting slope of regression line Interpreting slope and y …

Linear algebra 3 units · 4 skills Unit 1 Vectors and spaces Unit 2 Matrix transformations Unit 3 Alternate coordinate systems (bases)