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다음 전문 분야의 5개 강좌 중 4번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 14시간 필요

권장: 4 weeks of study...

영어

자막: 영어

귀하가 습득할 기술

Log–Log PlotInteraction (Statistics)Linear RegressionRegression Analysis

다음 전문 분야의 5개 강좌 중 4번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 14시간 필요

권장: 4 weeks of study...

영어

자막: 영어

Course을(를) 수강하는 학습자

  • Business Analysts
  • Risk Managers
  • Economists
  • Data Analysts
  • Marketing Specialists

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 5시간 필요

Regression Analysis: An Introduction

7개 동영상 (총 65분), 13 readings, 7 quizzes
7개의 동영상
Introducing Linear Regression: Building a Model8m
Introducing Linear Regression: Estimating the Model10m
Introducing Linear Regression: Interpreting the Model12m
Introducing Linear Regression: Predictions using the Model9m
Errors, Residuals and R-square14m
Normality Assumption on the Errors7m
13개의 읽기 자료
Course FAQs10m
Pre-Course Survey10m
Toy Sales.xlsx10m
Slides, Lesson 110m
Toy Sales.xlsx10m
Slides, Lesson 210m
Toy Sales.xlsx10m
Slides, Lesson 310m
Toy Sales.xlsx10m
Slides, Lesson 410m
Toy Sales2.xlsx10m
Slides, Lesson 510m
Slides, Lesson 610m
7개 연습문제
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: An Introduction1h
2
완료하는 데 5시간 필요

Regression Analysis: Hypothesis Testing and Goodness of Fit

6개 동영상 (총 74분), 15 readings, 7 quizzes
6개의 동영상
Hypothesis Testing in a Linear Regression: using 'p-values'7m
Hypothesis Testing in a Linear Regression: Confidence Intervals9m
A Regression Application Using Housing Data15m
'Goodness of Fit' measures: R-square and Adjusted R-square11m
Categorical Variables in a Regression: Dummy Variables18m
15개의 읽기 자료
Toy Sales.xlsx10m
Toy Sales (with regression).xlsx10m
Toy Sales (with regression, t-statistic).xlsx10m
Toy Sales (with regression, t-cutoff)10m
Slides, Lesson 110m
Toy Sales.xlsx10m
Slides, Lesson 210m
Toy Sales.xlsx10m
Slides, Lesson 310m
Home Prices.xlsx10m
Slides, Lesson 410m
Home Prices.xlsx10m
Slides, Lesson 510m
deliveries1.xlsx10m
Slides, Lesson 610m
7개 연습문제
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: Hypothesis Testing and Goodness of Fit1h
3
완료하는 데 4시간 필요

Regression Analysis: Dummy Variables, Multicollinearity

6개 동영상 (총 62분), 12 readings, 7 quizzes
6개의 동영상
Dummy Variable Regression: Interpretation of Coefficients6m
Dummy Variable Regression: Estimation, Interpretation of p-values17m
A Regression Application Using Refrigerator data12m
A Regression Application Using Refrigerator data (continued...)7m
Multicollinearity in Regression Models: What it is and How to Deal with it10m
12개의 읽기 자료
deliveries2.xlsx10m
Slides, Lesson 110m
Slides, Lesson 210m
deliveries2.xlsx10m
deliveries2 (for prediction).xlsx10m
Slides, Lesson 310m
Refrigerators.xlsx10m
Slides, Lesson 410m
Cars.xlsx10m
Slides, Lesson 510m
Cars.xlsx10m
Slides, Lesson 610m
7개 연습문제
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: Model Application and Multicollinearity20m
4
완료하는 데 4시간 필요

Regression Analysis: Various Extensions

7개 동영상 (총 63분), 11 readings, 7 quizzes
7개의 동영상
Building Confidence Bounds for Prediction Using a Regression Model9m
Interaction Effects in a Regression: An Introduction6m
Interaction Effects in a Regression: An Application8m
Transformation of Variables in a Regression: Improving Linearity7m
The Log-Log and the Semi-Log Regression Models17m
Course 4 Recap1m
11개의 읽기 자료
Height and Weight.xlsx10m
Slides, Lesson 110m
Height and Weight.xlsx10m
Slides, Lesson 210m
Slides, Lesson 310m
Height and Weight.xlsx10m
Slides, Lesson 410m
Slides, Lesson 510m
Cocoa.xlsx10m
Slides, Lesson 610m
End-of-Course Survey10m
7개 연습문제
Practice Quiz6m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz6m
Practice Quiz6m
Regression Analysis: Various Extensions22m
4.8
87개의 리뷰Chevron Right

40%

이 강좌를 수료한 후 새로운 경력 시작하기

27%

이 강좌를 통해 확실한 경력상 이점 얻기

11%

급여 인상 또는 승진하기

Linear Regression for Business Statistics의 최상위 리뷰

대학: WBDec 21st 2017

I have found Course 3 and 4 of this specialization to be challenging, but rewarding. It has helped me build confidence that I can do just about anything with data provided to increase positive impact.

대학: SDJul 12th 2019

I learned a lot.I gain confidence in analyzing data in Excel.I am happy that I have successfully completed it with simple understanding given on each topic.It was great help.Thank you very much

강사

Avatar

Sharad Borle

Associate Professor of Management
Jones Graduate School of Business

라이스 대학교 정보

Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy....

Business Statistics and Analysis 전문 분야 정보

The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem. To successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. To see an overview video for this Specialization, click here!...
Business Statistics and Analysis

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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