Unveiling the Influencing Factors of Advertisement and Study by Linear Regression Approach

The linear regression method is important in natural science. This method is widely used in economics, data science, management, medicine, biology, sociology and so on. This statistic method helps people to find the relationship between inputs and outputs and classify massive data. In the following article, some basic theories, formulas and real problems with solutions will be mentioned. This essay firstly introduces some methods about linear regression, and then use the formula and basic theories to calculate and analyze the relationship between independent and dependent variables of some real massive data. Finally, it can be found that all of data have relationship and people can use these conclusions to predict or give a suitable strategy, so it is really useful for people to prepare solutions ahead of schedule. It is one of the most fundamental methods in dealing with data, because the model of linear regression is quite easy, and provide understandable mathematical formulas, then create some scientific results.

Authors

Publication Details

Journal
Science and Technology of Engineering Chemistry and Environmental Protection
Published
2024-12-31
DOI
https://doi.org/10.61173/acn0p322
Primary Topic
Grey System Theory Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unveiling the Influencing Factors of Advertisement and Study by Linear Regression Approach

Xinquan Zhao
Science and Technology of Engineering Chemistry and Environmental Protection
Grey System Theory Applications
article

Unveiling the Influencing Factors of Advertisement and Study by Linear Regression Approach

Xinquan Zhao
article en

Abstract

The linear regression method is important in natural science. This method is widely used in economics, data science, management, medicine, biology, sociology and so on. This statistic method helps people to find the relationship between inputs and outputs and classify massive data. In the following article, some basic theories, formulas and real problems with solutions will be mentioned. This essay firstly introduces some methods about linear regression, and then use the formula and basic theories to calculate and analyze the relationship between independent and dependent variables of some real massive data. Finally, it can be found that all of data have relationship and people can use these conclusions to predict or give a suitable strategy, so it is really useful for people to prepare solutions ahead of schedule. It is one of the most fundamental methods in dealing with data, because the model of linear regression is quite easy, and provide understandable mathematical formulas, then create some scientific results.

Science and Technology of Engineering Chemistry and Environmental ProtectionVol. 1(10)
Openalex Percentile: Top 69%
Grey System Theory Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Unveiling the Influencing Factors of Advertisement and Study by Linear Regression Approach — Xinquan Zhao · Science and Technology of Engineering Chemistry and Environmental Protection (2024) | TGRS Research Map | TGRS