Simply collecting data is not enough. You can fill spreadsheets with data, but it's useless if you can't act on it. Regression is one of the most powerful statistical tools for finding relationships ...

Modeling linear regression in Excel is easier with the Data Analysis ToolPak ... This indicates that this finding is highly statistically significant, so the odds that this result was caused by chance ...

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...

Business forecasting is essential for the survival for companies of all sizes. The building block used by forecasters is historical data or the past performance of the business to predict future ...

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, ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

Multivariate failure time data arise when each study subject may experience several types of event or when there are clusterings of observational units such that failure times within the same cluster ...

Journal of Applied Probability, Vol. 23, Essays in Time Series and Allied Processes (1986), pp. 89-98 (10 pages) Regression analysis with stationary errors is extended to the case when, observations ...