MLRM: A Multiple Linear Regression based Model for Average Temperature Prediction of A Day Article Swipe

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Ishu Gupta , Harsh Mittal , Deepak Rikhari , Ashutosh Kumar Singh · YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2203.05835

Weather is a phenomenon that affects everything and everyone around us on a daily basis. Weather prediction has been an important point of study for decades as researchers have tried to predict the weather and climatic changes using traditional meteorological techniques. With the advent of modern technologies and computing power, we can do so with the help of machine learning techniques. We aim to predict the weather of an area using past meteorological data and features using the Multiple Linear Regression Model. The performance of the model is evaluated and a conclusion is drawn. The model is successfully able to predict the average temperature of a day with an error of 2.8 degrees Celsius.

Type

preprint

Language

en

Landing Page

http://arxiv.org/abs/2203.05835

PDF

https://arxiv.org/pdf/2203.05835

OA Status

green

Cited By

11

Related Works

10

OpenAlex ID

https://openalex.org/W4221154964

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