In a fuzzy regression discontinuity (RD) design, the probability of treatment jumps when a running variable (R) passes a threshold (R0). Fuzzy RD estimates are obtained via a procedure analogous to ...

The Formula 1 WAGs commanding attention trackside Meet the girlfriends and wives redefining what it means to be a motorsport muse. By Sophie Howe Alexandra Saint Mleux and Rebecca Donaldson.

A variance inflation factor (VIF) provides a measure of multicollinearity among the independent variables in a multiple regression model. Detecting multicollinearity is important because while ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

A closely related method is Pearson’s correlation coefficient, which also uses a regression line through the data points on a scatter plot to summarize the strength of an association between two ...

Using the FORECAST Function In the past, it was necessary to create an equation to make forecasts from regression analysis. Seldom were these equations easy to calculate or as simple as x=y2.

Excel 2013 can compare this data to determine the correlation which is defined by a regression equation. This equation calculates the expected value of the second variable based on the actual ...

Correlation vs Regression: Know here what is the difference between Correlation and Regression. Both are important statistical tools for data analysis but Correlation is used only for association ...

Regression is a word commonly used in econometrics, statistics, and many other sciences. It describes a widespread technique used by scientists of all kinds to empirically test theories using ...