logistic regression in excel data analysis

The regression analysis in Excel estimates the relationship between a dependent variable and independent variables using the least-squares regression method.Likewise, we can use regression analysis in excel to obtain the desired results. In addition, we can also see the regression equation in the chart area.Ĭlearly, we can infer from the chart that the weekly savings and income have a linear relationship. In this case, the above chart is an example of linear regression analysis in Excel with a least square regression line. So, if we plot a chart for regression analysis in Excel, we will get the result as shown in the image below:

Now, we need to estimate the dependent variable based on the independent variable.

Here, the Savings in $ is the dependent, response, or outcome variable, whereas the Income in $ is the independent, explanatory, or predictor variable. In addition, regression analysis is quite useful in finance.įor example, consider the table below showing income and savings in columns A and B. Thus, we can numerically assess how the fluctuations in the independent variables affect the dependent variable. In simple terms, it evaluates the relationship between one dependent variable with one or more independent variables.Īlso, it helps determine the strength of the estimated relationship and defines the future relationship between the variables.

Regression Analysis in Excel is a group of statistical methods.

Logistic regression in excel data analysis