Linear Regression

Mumpy Bhajipale

Linear Regression

January 2021

Vol-7, Issue-1

Paper ID: 13433

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Regression Analysis Machine learning share market Trend forecast.

Abstract

A linear regression analysis is a procedure to estimate a linear connection between one or more independent variables and the dependent variable. In the specimen of statistics and machine learning, it has been acknowledged as one of the most well-known and understood algorithms. This article cites the basic concept of linear regression. This includes the concept of math used for the implementation of an algorithm, also the use of it in the market.

License

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Author Information

#	Name	Institute / Affiliation
1	Mumpy Bhajipale	Pace University, New York City

How to Cite

Use the following formats to cite this article in your research.

APA Style

Bhajipale, Mumpy (2021). Linear Regression. International Journal of Advance Research and Innovative Ideas In Education, 7(1), 170-174.

MLA Style

Bhajipale, Mumpy. "Linear Regression." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 1, 2021, pp. 170-174.

IEEE Style

Mumpy Bhajipale, "Linear Regression," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 1, pp. 170-174, 2021.

Vancouver Style

Bhajipale Mumpy. Linear Regression. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(1):170-174.

Harvard Style

Bhajipale, Mumpy (2021) 'Linear Regression', International Journal of Advance Research and Innovative Ideas In Education, 7(1), pp. 170-174.

Chicago Style

Bhajipale, Mumpy. "Linear Regression." International Journal of Advance Research and Innovative Ideas In Education 7, no. 1 (2021): 170-174.

Turabian Style

Bhajipale, Mumpy. "Linear Regression." International Journal of Advance Research and Innovative Ideas In Education 7, no. 1 (2021): 170-174.