Typically, in correlation we sample both variables randomly from a population (for example, height and weight), and in regression we fix the value of the independent variable (for example, dose ...

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

In our example of simple linear regression 1, we saw how one continuous variable (weight) could be predicted on the basis of another continuous variable (height).

Several years ago, Spurrier considered the multiple comparison of several simple linear regression lines. He constructed simultaneous confidence bands for all of the contrasts of the simple linear ...

For example, you might use regression analysis to find out how well you can predict a child's weight if you know that child's height. The following data are from a study of nineteen children. Height ...

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example. Microsoft Excel and other software ...

The tolerance intervals of the two new procedures are compared with those of the Wilson method for a simple linear regression example. The tolerance intervals based on the product confidence set are ...

The short course will illustrate how to use JMP in linear regression analysis. The three main topics will be: Exploratory data analysis, simple liner regression and polynomial regression How to fit a ...