Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman

Sales Prediction in Media Platform Advertising Expenditure Using Linear Regression is a critical research endeavor addressing the challenges associated with forecasting sales in the context of media platform advertising expenditure. The study focuses on the application of the Linear Regression algor...

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Main Author:	Abdurahman, Nur Athirah
Format:	Thesis
Language:	English
Published:	2023
Subjects:	Capability maturity model (Computer software) Software engineering
Online Access:	https://ir.uitm.edu.my/id/eprint/96391/1/96391.pdf
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id	my-uitm-ir.96391
record_format	uketd_dc
spelling	my-uitm-ir.963912024-06-05T03:58:13Z Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman 2023 Abdurahman, Nur Athirah Capability maturity model (Computer software). Software engineering Sales Prediction in Media Platform Advertising Expenditure Using Linear Regression is a critical research endeavor addressing the challenges associated with forecasting sales in the context of media platform advertising expenditure. The study focuses on the application of the Linear Regression algorithm to predict sales outcomes based on advertising spending patterns. Accurate sales predictions are essential for businesses to optimize their advertising strategies and maximize return on investment. The primary goal of this research is to develop a robust prediction system capable of aiding businesses in the media industry by providing insights into potential sales outcomes. Early and accurate sales predictions can significantly impact decision-making processes, allowing organizations to allocate resources effectively and enhance overall marketing strategies. The methodology employed in this project involves the implementation of the Linear Regression algorithm, a statistical modeling technique that analyzes the relationship between advertising expenditure and sales. The algorithm calculates a linear equation that represents the best-fit line through the data points, enabling the prediction of future sales based on advertising investment. 2023 Thesis https://ir.uitm.edu.my/id/eprint/96391/ https://ir.uitm.edu.my/id/eprint/96391/1/96391.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Abdul Hamid, Nor Hasnul Azirah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdul Hamid, Nor Hasnul Azirah
topic	Capability maturity model (Computer software) Software engineering
spellingShingle	Capability maturity model (Computer software) Software engineering Abdurahman, Nur Athirah Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman
description	Sales Prediction in Media Platform Advertising Expenditure Using Linear Regression is a critical research endeavor addressing the challenges associated with forecasting sales in the context of media platform advertising expenditure. The study focuses on the application of the Linear Regression algorithm to predict sales outcomes based on advertising spending patterns. Accurate sales predictions are essential for businesses to optimize their advertising strategies and maximize return on investment. The primary goal of this research is to develop a robust prediction system capable of aiding businesses in the media industry by providing insights into potential sales outcomes. Early and accurate sales predictions can significantly impact decision-making processes, allowing organizations to allocate resources effectively and enhance overall marketing strategies. The methodology employed in this project involves the implementation of the Linear Regression algorithm, a statistical modeling technique that analyzes the relationship between advertising expenditure and sales. The algorithm calculates a linear equation that represents the best-fit line through the data points, enabling the prediction of future sales based on advertising investment.
format	Thesis
qualification_level	Bachelor degree
author	Abdurahman, Nur Athirah
author_facet	Abdurahman, Nur Athirah
author_sort	Abdurahman, Nur Athirah
title	Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman
title_short	Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman
title_full	Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman
title_fullStr	Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman
title_full_unstemmed	Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman
title_sort	sales prediction for media platforms advertising expenditure using linear regression / nur athirah abdurahman
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/96391/1/96391.pdf
_version_	1804889988002742272

Sales prediction for media platforms advertising expenditure using Linear Regression / Nur Athirah Abdurahman

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