The nature of the regression line is always linear, giving the technique the name linear regression. In linear regression, the dependent variable is continuous, whereas the independent variable(s) is either discrete or continuous. This type of regression technique is among the first few techniques leant by data analysts while learning on predictive models. Linear regression is a commonly used modeling technique for data analysis. The shape of the regression curve or lineįor this article, we shall focus on linear regression to demonstrate how to do regression in excel.The different kinds of regression include:ĭata analysts categorise the types of regression based on the following factors: For this reason, it is essential to master the guidelines on how to do regression analysis in Excel. Regression analysis helps investors and financial managers to assess and understand the relationship between two variables, such as the market prices and the stock present. Regression is a statistical tool used in statistics, finance, and other disciples to determine the relationship between a dependent variable and an independent variable. Lessons on how to do regression analysis have been on Therefore, data analysts must learn how to do regression analysis in Excel to identify the trends in phenomena.
The tool enables data analysts in forecasting the outcome of an unknown collection of data, hence useful in determining the trends. The regression analysis has been a tool used for ages in understanding and determining the nature of different phenomenon utilising a set of data.
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