Regresi dan Korelasi Penjualan Mobil Honda
Nurlian Zuan Pratama
No s9bm2, OSF Preprints from Center for Open Science
Abstract:
Abstract - There are 2 methods of analysis, namely linear regression and correlation. Linear regression is a statistical method used in finance, investment, and other disciplines. The point is to try to determine the strength and character of the relationship between one dependent variable (usually denoted by Y) and a series of other variables (known as the independent variable). Meanwhile, the correlation technique is an analytical technique that looks at the trend of patterns in one variable based on the trend of patterns in other variables. Usefulness of Correlation and Regression Analysis. In most natural phenomena, estimating the population mean, or testing the difference between two means using statistical test techniques, both those requiring specific distribution assumptions (parametric) and those that are not strictly distributed (nonparametric) assumptions are becoming inefficient and ineffective. However, using this method, we ignore easily observable information, such as floor area, number of bedrooms, number of bathrooms, and the age of the house. continued his abstract after it was no longer effective. Keyword: Analysis, Regression, Correlation, Sales Data
Date: 2020-12-21
References: Add references at CitEc
Citations:
Downloads: (external link)
https://osf.io/download/5fe15267337373000ef8e1c5/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:s9bm2
DOI: 10.31219/osf.io/s9bm2
Access Statistics for this paper
More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().