MLRM: A Multiple Linear Regression based Model for Average Temperature\n 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\ndaily basis. Weather prediction has been an important point of study for\ndecades as researchers have tried to predict the weather and climatic changes\nusing traditional meteorological techniques. With the advent of modern\ntechnologies and computing power, we can do so with the help of machine\nlearning techniques. We aim to predict the weather of an area using past\nmeteorological data and features using the Multiple Linear Regression Model.\nThe performance of the model is evaluated and a conclusion is drawn. The model\nis successfully able to predict the average temperature of a day with an error\nof 2.8 degrees Celsius.\n

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preprint

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http://arxiv.org/abs/2203.05835

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https://arxiv.org/pdf/2203.05835

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21

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