Regression analysis allows predicting the value of a dependent variable based on the value of at least one independent variable. The closer r is to 1 or —1, the stronger the relationship.
There may be biological reasons to expect a priori that a certain type of mathematical function will best describe such a relationship, or simple assumptions have to be made that this is the case e. The weather parameters, such as temperature, humidity, and precipitation affect the load requirements in non-autonomous wide area smart grid system.
This article explains the basic concepts and explains how we can do linear regression calculations in SPSS and excel.
Coefficient of Determination, R2 The coefficient of determination is the portion of the total variation in the dependent variable that can be explained by variation in the independent variable s. The variable to be explained blood pressure is called the dependent variable, or, alternatively, the response variable; the variables that explain it age, weight are called independent variables or predictor variables.
While correlation provides a quantitative way of measuring the degree or strength of a relation between two variables, regression analysis mathematically describes this relationship. In biomedical or clinical research, the researcher often tries to understand or relate two or more independent predictor variables to predict an outcome or dependent variable.
Methods This article is based on selected textbooks of statistics, a selective review of the literature, and our own experience.