IBM SPSS has been a long-standing favorite among data professionals for running statistical analyses and multivariate statistical techniques like linear regression. The SPSS Statistics software ...

If you want to include additional regression statistics like R², standard errors, and F-statistics, choose a 2-column by 5-row block. Then type the following linear regression equasion ...

This plugin makes calculating a range of statistics very easy. It is not required to chart a linear regression line, but it makes creating statistics tables simpler. To verify that it is ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

Linear regression forecasting is a time-series method that uses basic statistics to project future values for a target variable. The two main categories of forecasting take very different approaches.

See "Computing Correlations" in Chapter 7, "Descriptive Statistics," for a complete description of ... you estimate the parameters in the following multiple linear regression equation: ...

This post will show how to estimate and interpret linear regression models with survey data using R ... in the U.S.), which requires weighting the data to known national statistics. Weights are used ...

The interpretation of statistics such as parameter estimates may nevertheless be highly problematical. The comments in the rest of this section are directed toward linear least-squares regression.

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...