How to do regression analysis in spss
Regression Analysis is a analysis process where the relationship between one dependent variable is evaluated with one or more independent variables. Regression Analysis are mainly used for prediction and forecasting. To define as an example, a doctor can quantify how much each factor will contribute to the overall risk of patients.
Regression Analysis is a analysis process where the relationship between one dependent variable is evaluated with one or more independent variables.
Types of Regression Analysis
- Simple Linear Regression: Used for evaluating the relationship of one dependent variable with one independent variable.
Formula: Y=a+bX+
Where:
Y=Dependent Variable (Outcome)
X=Independent variable (Predictor)
a= Intercept (Value of Y when X=0)
b=Slope (how much Y changes for a one unit increase in X)
= Error Term.
- Multiple Linear Regression: It is used for evaluating two or more independent variable to predict a dependent variable.
Formula:Y=a+b_1 X_1+b_2 X_2+⋯+b_n X_n+ϵ
Performing Regression Analysis in SPSS
In SPSS performing regression analysis is extremely easy as it used a menu driven interface which allows user to perform the analysis in a few clicks. Once the dataset is imported in the system the user has to select the dependent and independent variables. The software will immediately calculate regression coefficient, R-squared values and the model fit statistics.