Correlation & Regression: Learn With Practical Examples

Correlation & Regression: Learn With Practical Examples, available at $22.99, has an average rating of 3.5, with 9 lectures, 1 quizzes, based on 4 reviews, and has 26 subscribers.

You will learn about Correlation Analysis Regression Analysis Types of Correlation and Regression Analysis Correlation and Regression Analysis using Microsoft Excel Regression Analysis using Minitab software Multiple Regression with Practical Examples Best Subsets Regression with Practical Examples This course is ideal for individuals who are Students or Professionals or Company Employees or Professors or Entrepreneurs or Suppliers or Customers or Technical People or Managers or Freshers It is particularly useful for Students or Professionals or Company Employees or Professors or Entrepreneurs or Suppliers or Customers or Technical People or Managers or Freshers.

Enroll now: Correlation & Regression: Learn With Practical Examples

Summary

Title: Correlation & Regression: Learn With Practical Examples

Price: $22.99

Average Rating: 3.5

Number of Lectures: 9

Number of Quizzes: 1

Number of Published Lectures: 9

Number of Published Quizzes: 1

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Correlation Analysis
Regression Analysis
Types of Correlation and Regression Analysis
Correlation and Regression Analysis using Microsoft Excel
Regression Analysis using Minitab software
Multiple Regression with Practical Examples
Best Subsets Regression with Practical Examples

Who Should Attend

Students
Professionals
Company Employees
Professors
Entrepreneurs
Suppliers
Customers
Technical People
Managers
Freshers

Target Audiences

Students
Professionals
Company Employees
Professors
Entrepreneurs
Suppliers
Customers
Technical People
Managers
Freshers

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

This course has 05 sections.

Section-1: This consists of-

Correlation
Correlation Analysis
Calculating Correlation Coefficient
Practical use of Correlation and Regression with a practical example
Regression
Significance F and p-values
Coefficients
Residual and
Conclusion

Section-2: This consists of-

Regression Analysis
Practical use of each Regression Analysis with Example
Use of Minitab to conduct Regression Analysis
Interpretation of Results

Section-3: This consists of-

Types and Illustration of each type with a practical example
Nonlinear Regression Analysis

1) What are Regression analyses and their types?

2) Brief explanation of all types of Regression Analysis methods

3) When to use Nonlinear Regression Analysis?

4) Data considerations for Nonlinear Regression

5) Nonlinear Regression Analysis with Practical Example in Microsoft Excel

6) Interpretation of results from Regression analysis including R-Square, Significance F and p-values, Coefficients, Residuals and Best Fit Model for Nonlinear Regression
Logistic Regression Analysis
Binary Logistic Regression

1) What is Binary Logistic Regression Analysis?

2) Data considerations for Binary Logistic Regression

3) Detailed Illustration of Binary Logistic Regression Analysis with Practical Example

4) Detailed Procedure for Analysis in Minitab

5) Interpretation of Results in Session Window

6) Interpretation of Results in Graph Window

Section-4: This consists of-

Best subset regression with the help of a practical example

What is the Best Subsets Regression?
Best Subsets Regression with Practical Example in Minitab
Detailed interpretation of results from Best Subsets Regression

Multiple Regression with the help of a practical example

How to perform Multiple Regression Analysis in Minitab?
Practical Example of Multiple Regression
Detailed interpretation of results in the session window, and
Detailed interpretation of results in the graph window.

Section-5: This consists of-

Quiz to understand and demonstrate understanding of concepts learned in this course.

I am sure you will be liked it…

Course Curriculum

Chapter 1: Scatter Diagram: Detailed Illustration with Practical Examples

Lecture 1: Scatter Diagram: Detailed Illustration with Practical Examples

Chapter 2: Detailed Illustration of "Correlation and Regression Concepts" with example

Lecture 1: Correlation & Regression: Concepts with Illustrative examples

Chapter 3: Regression Analysis: Types and Illustration of each type with practical example

Lecture 1: Regression Analysis: Types and Nonlinear Regression Analysis

Lecture 2: Nonlinear Regression Analysis: Illustration with Practical Example in Minitab

Lecture 3: Logistic Regression Analysis: Introduction, Types and Data Considerations

Lecture 4: Binary Logistic Regression: Detailed Illustration with Practical Example

Chapter 4: Multiple Regression: Detailed illustration with Practical Example in Minitab

Lecture 1: Multiple Regression (PART-1): Best Subsets Regression with Practical Example

Lecture 2: Multiple Regression (PART-2): Detailed illustration with Example in Minitab

Chapter 5: Perform Correlation and Regression In Excel

Lecture 1: Perform Correlation and Regression In Excel

Chapter 6: Quiz

Instructors

Vijay Sabale
B.E.Mech, ASQ-Certified Six Sigma Black Belt, MBA Operations

Rating Distribution

1 stars: 0 votes
2 stars: 2 votes
3 stars: 0 votes
4 stars: 0 votes
5 stars: 2 votes

Frequently Asked Questions

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