estimate simple linear regression equation using spss

With the help of a regression analysis, it becomes possible to study the following types of questions: It is therefore important to provide a strong theoretical basis for the assumed direction of the correlation.

But it is impossible to establish causality by means of a regression. In the case of other questions, however, the direction of the relationship is less obvious.

For example, it can be assumed that the number of umbrellas sold depends on the weather and not the other way around. The direction of the relationship is straightforward in many questions. In contrast to a multiple regression analysis with several independent variables, a simple linear regression analysis examines the influence an independent variable has on the dependent variable. A simple linear regression analysis should always be chosen over a bivariate correlation analysis when drawing conclusions about the assumed direction of the correlation. However, this is possible only if both variables are interval scaled and normal distributed.

A simple linear regression analysis can be used for measuring the effect that one attribute has on another and for predicting one attribute by means of another.

Estimate simple linear regression equation using spss