What does RG mean in MATHEMATICS

Regression is a type of statistical analysis that identifies the linear relationship between two or more variables. It involves examining the influence of one variable on another while controlling for other variables.

Regression models can be used in many different fields, including economics, engineering, and psychology. They can be applied to things like predicting stock prices, analyzing fraud detection data, and forecasting weather patterns.

While both correlation and regression involve looking at relationships between variables, they differ in terms of what they measure. Correlation measures how closely related two variables are (e.g., if one increases then so does the other). On the other hand, regression looks at how one variable affects another after accounting for all other influencing factors (i.e., it looks at causal relationships).

There are many different types of regressions depending on the number of independent and dependent variables involved in the analysis as well as assumptions made about the data patterns being studied. Some common examples include linear regression, logistic regression, polynomial regression, stepwise regression, ridge regression and lasso regression.

There are many software options available for conducting a regression analysis including SPSS Statistics®, R programming language and SAS® JMP® Statistical Discovery Software.