price = -55089.98 + 87.34engineSize +…

In the last few blog posts of this series discussed regression models at length. Fernando has built a multivariate regression model. The model takes the following shape:

price = -55089.98 + 87.34engineSize +…

Added by Pradeep Menon on August 30, 2017 at 4:30am — No Comments

The last few blog posts of this series discussed regression models. Fernando has selected the best model. He has built a multivariate regression model. The model takes the following shape:

Continueprice = -55089.98 + 87.34

engineSize + 60.93…

Added by Pradeep Menon on August 19, 2017 at 6:30am — No Comments

In the last few blog posts of this series, we discussed simple linear regression model. We discussed multivariate regression model and methods for selecting the right model.

Fernando has now created a better model.…

Added by Pradeep Menon on August 16, 2017 at 3:00am — No Comments

In the last article of this series, we discussed the story of Fernando. A data scientist who wants to buy a car. He uses Simple Linear Regression model to estimate the price of the car.…

Continue

Added by Pradeep Menon on August 6, 2017 at 5:30am — 1 Comment

In the previous posts of this series, we discussed the concepts of statistical learning and hypothesis testing. In this article, we dive into linear regression models.

Before we dive in, let us recall some important aspects of statistical learning.

**Independent and Dependent…**

Added by Pradeep Menon on August 6, 2017 at 5:30am — 3 Comments

Edward Teller, the famous Hungarian-American physicist, once quoted:

“A fact is a simple statement that everyone believes. It is innocent, unless found guilty. A hypothesis is a novel suggestion that no one wants to believe. It is guilty, until…Continue

Added by Pradeep Menon on August 5, 2017 at 2:00am — 2 Comments

- Data Science Simplified Part 9: Interactions and Limitations of Regression Models
- Data Science Simplified Part 8: Qualitative Variables in Regression Models
- Data Science Simplified Part 7: Log-Log Regression Models
- Data Science Simplified Part 5: Multivariate Regression Models
- Data Science Simplified Part 4: Simple Linear Regression Models
- Data Science Simplified Part 3: Hypothesis Testing

- Data Science Simplified Part 4: Simple Linear Regression Models
- Data Science Simplified Part 9: Interactions and Limitations of Regression Models
- Data Science Simplified Part 7: Log-Log Regression Models
- Data Science Simplified Part 3: Hypothesis Testing
- Data Science Simplified Part 5: Multivariate Regression Models
- Data Science Simplified Part 8: Qualitative Variables in Regression Models

© 2019 Data Science Central ® Powered by

Badges | Report an Issue | Privacy Policy | Terms of Service

**Most Popular Content on DSC**

To not miss this type of content in the future, subscribe to our newsletter.

- Book: Statistics -- New Foundations, Toolbox, and Machine Learning Recipes
- Book: Classification and Regression In a Weekend - With Python
- Book: Applied Stochastic Processes
- Long-range Correlations in Time Series: Modeling, Testing, Case Study
- How to Automatically Determine the Number of Clusters in your Data
- New Machine Learning Cheat Sheet | Old one
- Confidence Intervals Without Pain - With Resampling
- Advanced Machine Learning with Basic Excel
- New Perspectives on Statistical Distributions and Deep Learning
- Fascinating New Results in the Theory of Randomness
- Fast Combinatorial Feature Selection

**Other popular resources**

- Comprehensive Repository of Data Science and ML Resources
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- 100 Data Science Interview Questions and Answers
- Cheat Sheets | Curated Articles | Search | Jobs | Courses
- Post a Blog | Forum Questions | Books | Salaries | News

**Archives:** 2008-2014 |
2015-2016 |
2017-2019 |
Book 1 |
Book 2 |
More

**Most popular articles**

- Free Book and Resources for DSC Members
- New Perspectives on Statistical Distributions and Deep Learning
- Time series, Growth Modeling and Data Science Wizardy
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- Comprehensive Repository of Data Science and ML Resources
- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
- How to Automatically Determine the Number of Clusters in your Data
- Fascinating New Results in the Theory of Randomness
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions