--- title: "Linear Regression" type: "article" slug: "linear-regression" url: "http://localhost/article/linear-regression/" markdown_url: "http://localhost/article/linear-regression.md" published_at: "2020-10-27T17:18:47+00:00" modified_at: "2024-06-23T01:05:08+00:00" featured_image: url: "http://localhost/wp-content/uploads/2022/04/20230809-041332.jpg" excerpt: "Computes the linear relationship between two sets of variables, expressed as the linear regression equation, and calculates the coefficient of determination, an indicator of the strength of the relationship. Given a set of two variables labelled X and Y, the program will yield an equation describing Y as a function of X." category: - name: "SYNC" slug: "sync" taxonomy: "category" url: "http://localhost/category/periodicals/sync/" post_tag: - name: "1982" slug: "year-1982" taxonomy: "post_tag" url: "http://localhost/tag/year-1982/" - name: "Jon T. Passler" slug: "jon-t-passler" taxonomy: "post_tag" url: "http://localhost/tag/jon-t-passler/" - name: "Type-in program" slug: "type-in-program" taxonomy: "post_tag" url: "http://localhost/tag/type-in-program/" - name: "ZX80" slug: "zx80" taxonomy: "post_tag" url: "http://localhost/tag/zx80/" - name: "ZX81" slug: "zx81" taxonomy: "post_tag" url: "http://localhost/tag/zx81/" model: - name: "Sinclair ZX80" slug: "zx80" taxonomy: "model" url: "http://localhost/model/zx80/" - name: "Sinclair ZX81" slug: "zx81" taxonomy: "model" url: "http://localhost/model/zx81/" publication: "Sync" publication_r: id: 10243 title: "SYNC" type: "periodical" url: "http://localhost/periodical/sync-magazine/" authors: "Jon Passler" volume: "2" issue: "1" issues_articles: - id: 26641 title: "SYNC v2 n1" type: "issue" url: "http://localhost/issue/sync-v2-n1/" pages: "32" pubdate: "January/February 1982" archive_link: false volumeissue: "v2n1" companies_articles: - id: 10995 title: "Jon T. Passler" type: "company" url: "http://localhost/company/jon-t-passler/" --- # Linear Regression Computes the linear relationship between two sets of variables, expressed as the linear regression equation, and calculates the coefficient of determination, an indicator of the strength of the relationship. Given a set of two variables labelled X and Y, the program will yield an equation describing Y as a function of X.