In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship ...

The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear ...

The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear ...

Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables. ...

An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will ...

The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual ...

A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing ...

An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in ...

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable. However, the point estimate ...

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical ...