For example, how much will the stock price of Lufthansa be in 6 months from now? For example, if a manufacturing company wants to forecast how many units of a particular product they need to produce in order to meet the current demand. Forecasting the effects or impact of specific changes.Regression analysis can be used for three things: When two or more independent variables are used to predict or explain the outcome of the dependent variable, this is known as multiple regression.
![logistic regression using weka jar logistic regression using weka jar](https://files.speakerdeck.com/presentations/11359d2bd4b24c809d1a799d3fd0e059/slide_51.jpg)
Logistic regression using weka jar series#
Regression analysis is a type of predictive modeling technique which is used to find the relationship between a dependent variable (usually known as the “Y” variable) and either one independent variable (the “X” variable) or a series of independent variables. So, before we delve into logistic regression, let us first introduce the general concept of regression analysis. Logistic regression is a type of regression analysis.
![logistic regression using weka jar logistic regression using weka jar](https://i.ytimg.com/vi/kWDYpbzvwlQ/maxresdefault.jpg)
If you’re new to the field of data analytics, you’re probably trying to get to grips with all the various techniques and tools of the trade.