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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM29213
Volume:
8 |
3 |
Mar 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The ability to predict the weather is necessary for lifesaving. Weather prediction has important applications in transportation, agriculture, floods, and other natural phenomena. For weather forecasting to be accurate, air pressure prediction is essential. Among the methods available for Air Pressure prediction is multiple linear regression. To ascertain the relationship between one independent variable and one dependent variable The linear regression model is a very useful tool in statistics. An expansion of the linear regression model is multiple linear regression. To add variables to our experiment, we used MATLAB. Predicting air pressure is crucial to weather forecasting. We have selected Kolkata, or more precisely the Dum Dum Metropolitan area in North 24 Parganas, for the purpose of forecasting rainfall.
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Publication Date
12/31/45362
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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