In the previous session, we had detailed insights into Predictive Modelling using excel. In this session, however let’s take a look at an alternative form of peforming the modelling exercise.
Linear Regression Using R
We will use R statistical package to run linear regression. We don’t use excel because of some issues encountered while running linear regression.

• Excel requires the user to generate columns for interactions.
• Excel is limited to 16 predictor columns etc.
• Output may be scattered in different worksheets etc.
• Because of the above drawbacks, we utilize ‘R’ to run Linear Regression.
Below is the output of a multivariate linear regression using R
In today’s modern business world, business analytics plays a very crucial role. It has its roots spanning to almost every business sector.

Banks, now-a- days use data analysis to differentiate among customers based on credit risk, usage and other characteristics and then match the customer characteristics with their appropriate product offerings.

In a recent interview the world chess champion VishwanathanAnand said that analytics skills are no longer just an extension of the IT professional, they are becoming increasingly important for businesses. In the age of increasing competition business enterprises and leaders have to constantly analyse multiple databases to predict trends that can be helpful in taking crucial business decisions.

Write to us at to know the concept in details and enquire about EduPristine Certified Business Analytics Course


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