This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.
von
Duke UniversityÃœber diesen Kurs
36.473 kürzliche Aufrufe
Flexible Fristen
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Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100Â % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Stufe „Anfänger“
Ca. 10 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Koreanisch, Deutsch, Russisch, Englisch, Spanisch
Kompetenzen, die Sie erwerben
- Statistics
- Linear Regression
- R Programming
- Regression Analysis
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100Â % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Stufe „Anfänger“
Ca. 10 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Koreanisch, Deutsch, Russisch, Englisch, Spanisch
von
Duke University
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
Lehrplan - Was Sie in diesem Kurs lernen werden
22 Minuten zum Abschließen
About Linear Regression and Modeling
This short module introduces basics about Coursera specializations and courses in general, this specialization: Statistics with R, and this course: Linear Regression and Modeling. Please take several minutes to browse them through. Thanks for joining us in this course!
22 Minuten zum Abschließen
1 Video (Gesamt 2 min), 2 Lektüren
2 Stunden zum Abschließen
Linear Regression
In this week we’ll introduce linear regression. Many of you may be familiar with regression from reading the news, where graphs with straight lines are overlaid on scatterplots. Linear models can be used for prediction or to evaluate whether there is a linear relationship between two numerical variables.
2 Stunden zum Abschließen
8 Videos (Gesamt 47 min), 3 Lektüren, 2 Quiz
3 Stunden zum Abschließen
More about Linear Regression
Welcome to week 2! In this week, we will look at outliers, inference in linear regression and variability partitioning. Please use this week to strengthen your understanding on linear regression. Don't forget to post your questions, concerns and suggestions in the discussion forum!
3 Stunden zum Abschließen
3 Videos (Gesamt 24 min), 5 Lektüren, 3 Quiz
5 Stunden zum Abschließen
Multiple Regression
In this week, we’ll explore multiple regression, which allows us to model numerical response variables using multiple predictors (numerical and categorical). We will also cover inference for multiple linear regression, model selection, and model diagnostics. There is also a final project included in this week. You will use the data set provided to complete and report on a data analysis question. Please read the project instructions to complete this self-assessment.
5 Stunden zum Abschließen
7 Videos (Gesamt 57 min), 6 Lektüren, 3 Quiz
Bewertungen
- 5 stars80,11Â %
- 4 stars16,06Â %
- 3 stars3,01Â %
- 2 stars0,25Â %
- 1 star0,56Â %
Top-Bewertungen von LINEAR REGRESSION AND MODELING
von HZ1. Okt. 2016
The structure of this course is really good. The slides demonstrates everything clearly. The speed that the instructor talks is good too.
von AN12. Sep. 2020
The course is structured in a very informative way, it is easy to understand and at the same time difficult concepts are presented in a very easy way. The course instructor is awesome.
von MM13. Dez. 2020
I learn a lot. It added more lessons beyond my graduate school. Especially that the course is based on R, this course is very helpful for my journey towards using R.
von CG19. Jan. 2018
Good but I felt some gaps in the material made it difficult to learn. Also, the quiz questions are focused on attention to detail "gotcha" questions. This can be frustrating.
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Ist finanzielle Unterstützung möglich?
Will I receive a transcript from Duke University for completing this course?
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