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Correlation & Regression: Concepts And Types With Illustrative Example

Correlation & Regression: Concepts And Types With Illustrative Example

This course is prepared to understand two important concepts in statistics as well as Six Sigma i.e. Correlation and Regression.

Overview

Description
Hello Friends,

This course is prepared to understand two important concepts in statistics as well as Six Sigma i.e. Correlation and Regression.

This course has 02 sections.

Section-1: This will explained

Correlation
Correlation Analysis
Calculating Correlation Coefficient
Practical use of Correlation and Regression with practical example
Regression
Significance F and p-values
Coefficients
Residual and
Conclusion
Section-2: This will explained

Types of Regression Analysis
Practical use of each Regression Analysis with Example
Use of Minitab to conduct Regression Analysis
Interpretation of Results
I am sure you will be liked it...

Basic knowledge
Must able to understand English to some extent

Course Information

Must able to understand English to some extent

What will you learn
Correlation Analysis
Regression Analysis
Types of Correlation and Regression Analysis
Correlation and Regression using Microsoft Excel
Regression Analysis using Minitab software

Students
Professionals

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• Certificate on Completion of Course
• No Extra Charges Or Admin Fees
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• High Priority Support After Sales.
• Big Discounts on Individual Courses

Course Specifications

Browse accredited Statistics courses including Maths and Statistics with Study Learn Grow.  

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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