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所在平台: Udemy |
课程主页: https://www.udemy.com/course/correlation-regression-concepts-with-illustrative-example/
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**课程名称：** 相关性与回归分析：通过实际案例学习 **课程概述：** 本课程旨在帮助学习者深入理解统计学和六西格玛中的两大核心概念：相关性与回归分析。课程共包含五个章节，通过丰富的实际案例，使学习者能够掌握这两种重要工具的应用。 **课程内容摘要：** * **第一章：相关性与回归基础** * **相关性分析：** 讲解相关性的概念，如何计算相关系数，以及相关性在实际生活中的应用。 * **回归分析入门：** 介绍回归分析的基本原理，包括显著性F值、p值、系数、残差等关键概念，并通过实际案例进行阐述。 * **第二章：回归分析实践** * **回归分析的应用：** 深入讲解回归分析的各类实际应用场景，并结合具体案例进行演示。 * **Minitab 软件操作：** 教授如何使用 Minitab 软件进行回归分析，以及如何解读分析结果。 * **第三章：非线性回归与逻辑回归** * **非线性回归分析：** 介绍非线性回归的概念、不同类型、适用场景，以及在 Microsoft Excel 中的实操案例，并详细解读 R-Square、显著性F值、p值、系数、残差和最佳拟合模型等结果。 * **逻辑回归分析：** 重点讲解二元逻辑回归，包括其定义、数据考量、在 Minitab 中的详细操作步骤，以及如何解读会话窗口和图表窗口的分析结果。 * **第四章：最佳子集回归与多元回归** * **最佳子集回归：** 讲解最佳子集回归的概念，并通过 Minitab 实例进行操作演示，详细解读结果。 * **多元回归分析：** 教授如何在 Minitab 中进行多元回归分析，通过实际案例展示操作过程，并详尽解释会话窗口和图表窗口的分析结果。 * **第五章：综合测验** * **知识巩固：** 提供综合性测验，以检验和巩固学习者在本课程中所学到的相关性与回归分析知识。 本课程结构清晰，案例丰富，旨在帮助学习者扎实掌握相关性与回归分析的应用技能。
This course is prepared to understand two important concepts in statistics as well as Six Sigma i.e. Correlation and Regression.This course has 05 sections.Section-1: This consists of-CorrelationCorrelation AnalysisCalculating Correlation CoefficientPractical use of Correlation and Regression with a practical exampleRegressionSignificance F and p-valuesCoefficientsResidual and ConclusionSection-2: This consists of-Regression AnalysisPractical use of each Regression Analysis with ExampleUse of Minitab to conduct Regression AnalysisInterpretation of ResultsSection-3: This consists of-Types and Illustration of each type with a practical exampleNonlinear Regression Analysis1) What are Regression analyses and their types? 2) Brief explanation of all types of Regression Analysis methods3) When to use Nonlinear Regression Analysis?4) Data considerations for Nonlinear Regression5) Nonlinear Regression Analysis with Practical Example in Microsoft Excel6) Interpretation of results from Regression analysis including R-Square, Significance F and p-values, Coefficients, Residuals and Best Fit Model for Nonlinear RegressionLogistic Regression AnalysisBinary Logistic Regression1) What is Binary Logistic Regression Analysis?2) Data considerations for Binary Logistic Regression 3) Detailed Illustration of Binary Logistic Regression Analysis with Practical Example4) Detailed Procedure for Analysis in Minitab5) Interpretation of Results in Session Window6) Interpretation of Results in Graph WindowSection-4: This consists of-Best subset regression with the help of a practical exampleWhat is the Best Subsets Regression?Best Subsets Regression with Practical Example in MinitabDetailed interpretation of results from Best Subsets RegressionMultiple Regression with the help of a practical exampleHow to perform Multiple Regression Analysis in Minitab?Practical Example of Multiple RegressionDetailed interpretation of results in the session window, andDetailed interpretation of results in the graph window.Section-5: This consists of-Quiz to understand and demonstrate understanding of concepts learned in this course.I am sure you will be liked it...
