{"id":20434926,"url":"https://github.com/ruoheng-du/multivariate-data-analysis","last_synced_at":"2026-05-17T01:50:11.934Z","repository":{"id":178243670,"uuid":"661573129","full_name":"ruoheng-du/multivariate-data-analysis","owner":"ruoheng-du","description":"Multivariate Data Analysis | Spring 2023","archived":false,"fork":false,"pushed_at":"2024-08-30T19:46:30.000Z","size":23787,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-05T06:34:04.984Z","etag":null,"topics":["ancova-analysis","linear-regression","logistic-regression","minitab","multiple-linear-regression","python","regression-models","time-series-analysis"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ruoheng-du.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-07-03T07:18:15.000Z","updated_at":"2024-08-30T19:46:33.000Z","dependencies_parsed_at":"2025-01-15T18:37:59.892Z","dependency_job_id":null,"html_url":"https://github.com/ruoheng-du/multivariate-data-analysis","commit_stats":null,"previous_names":["ruoheng-du/regression-reports","ruoheng-du/multivariate-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ruoheng-du/multivariate-data-analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ruoheng-du%2Fmultivariate-data-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ruoheng-du%2Fmultivariate-data-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ruoheng-du%2Fmultivariate-data-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ruoheng-du%2Fmultivariate-data-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ruoheng-du","download_url":"https://codeload.github.com/ruoheng-du/multivariate-data-analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ruoheng-du%2Fmultivariate-data-analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264446715,"owners_count":23609632,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ancova-analysis","linear-regression","logistic-regression","minitab","multiple-linear-regression","python","regression-models","time-series-analysis"],"created_at":"2024-11-15T08:29:36.427Z","updated_at":"2026-05-17T01:50:06.886Z","avatar_url":"https://github.com/ruoheng-du.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Multivariate Data Analysis | Spring 2023\nThis is the repository for analytical reports done in Regression and Multivariate Data Analysis course during Spring 2023. There are five reports throughout the semester and the statistical software is Minitab. The datasets, reports, and Minitab commands can be found in the report#1 to report#5 directories. Please feel free to email me at ruoheng.du@nyu.edu for any more information.\n\n### Report#1: Simple Linear Regression - Relationship Between Health Expenditure and GDP Per Capita\nHealth expenditure (% of GDP) = 5.685 + 0.0597 * GDP per capita (in thousands)\n\n\u003cimg width=\"600\" alt=\"rp1\" src=\"https://github.com/ruoheng-du/regression-reports/raw/main/assets/rp1.png\"\u003e\n\n### Report#2: Multiple Linear Regression - Thermal Expansion Error Modeling of High-speed Electric Spindle\nDelta L = -21.82 + 1.551 * (T0-T15) + 1.026 * (T13-T15)\n\n\u003cimg width=\"600\" alt=\"rp2\" src=\"https://github.com/ruoheng-du/regression-reports/raw/main/assets/rp2.png\"\u003e\n\n### Report#3: Time Series - Time Series Analysis of Consumer Price Index\nCPI = 118.1 + 0.1628 * Wheat Market Price - 0.325 * Time_1 + 0.00339 * Time_2 + 0.410 * CPI_Lag1 - 0.519 * CPI_Lag11\n\n\u003cimg width=\"600\" alt=\"rp3\" src=\"https://github.com/ruoheng-du/regression-reports/raw/main/assets/rp3.png\"\u003e\n\n### Report#4: ANCOVA - Examining the Relationship Between Health Expenditure, GDP per Capita, and Continent\n\n\u003cimg width=\"600\" alt=\"rp4_1\" src=\"https://github.com/ruoheng-du/regression-reports/raw/main/assets/rp4_1.png\"\u003e\n\u003cimg width=\"600\" alt=\"rp4_2\" src=\"https://github.com/ruoheng-du/regression-reports/raw/main/assets/rp4_2.png\"\u003e\n\n### Report#5: Logistic Regression - Predicting Level of Development for Countries\n\n\u003cimg width=\"450\" alt=\"rp5\" src=\"https://github.com/ruoheng-du/regression-reports/raw/main/assets/rp5.png\"\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fruoheng-du%2Fmultivariate-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fruoheng-du%2Fmultivariate-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fruoheng-du%2Fmultivariate-data-analysis/lists"}