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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 105
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| Paper Title: | Assumption checking of a Multiple Linear Regression Model |
| Authors Name: | Tanvi Koyande |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_190154
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| Published Paper Id: | IJRTI2407036 |
| Published In: | Volume 9 Issue 7, July-2024 |
| DOI: | |
| Abstract: | A statistical assessment of the average relationship between two or more variables is called regression analysis. There are two kinds of variables used in regression analysis. One is the independent variable, represented by (X), while the other is the dependent variable, typically represented by (Y). Another name for the independent variables is predictors or regressors. Using regressors, the goal is to predict the value of the dependent variable. When one independent variable (X) is used to predict the dependent variable, the mathematical model is known as a Simple Linear Regression Model and is expressed as Y = b0 + b1X. where 'b0' denotes the intercept and 'b1' the regression coefficient, and b0 and b1 are the constants. The mathematical model known as a multiple linear regression model is given by Y = b0 + b1X1 + b2X2 +...+bnXn and is employed when multiple independent variables are utilized to predict the dependent variable. Estimating the value of the regression coefficients is the goal of regression analysis. The least squares method is used to estimate these regression coefficients. However, these estimates will only be accurate and unbiased if the model meets all of the assumptions. This article addresses a linear regression model's basic assumptions and methods for resolving violations. |
| Keywords: | Multiple linear regression, assumptions |
| Cite Article: | "Assumption checking of a Multiple Linear Regression Model", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 7, page no.322 - 325, July-2024, Available :http://www.ijrti.org/papers/IJRTI2407036.pdf |
| Downloads: | 000204764 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2407036
Registration ID:190154
Published In: Volume 9 Issue 7, July-2024
DOI (Digital Object Identifier):
Page No: 322 - 325 Country: Mumbai, Maharashtra, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2407036 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2407036 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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