MLRM: A Multiple Linear Regression based Model for Average Temperature
Prediction of A Day
- URL: http://arxiv.org/abs/2203.05835v1
- Date: Fri, 11 Mar 2022 10:22:57 GMT
- Title: MLRM: A Multiple Linear Regression based Model for Average Temperature
Prediction of A Day
- Authors: Ishu Gupta and Harsh Mittal and Deepak Rikhari and Ashutosh Kumar
Singh
- Abstract summary: We aim to predict the weather of an area using past meteorological data and features using the Multiple Linear Regression Model.
The model is successfully able to predict the average temperature of a day with an error of 2.8 degrees Celsius.
- Score: 3.6704226968275258
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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.
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