30.1. Data Modeling Part 2: Linear Regression

30.1.1. Reading

Read the following articles:

Statistical Modeling.

Independent and Dependent Variables: Differences & Examples.

Multicollinearity in Regression Analysis: Problems, Detection, and Solutions.

• The video in the article on multicollinearity is a helpful summary on the topic. Definitely check it out!

30.1.2. Check Your Understanding

Question

In your own words, what is statistical modeling?

Question

Which of the following are types of regression models? Select all that apply.

1. Logistic

2. Naive Bayes

3. Polynomial

4. Linear Regression

5. Neural Networks

Question

Which of the following are types of classification models? Select all that apply.

1. Reinforcement Learning

2. Naive Bayes

3. Neural Networks

4. Random Forest

5. Nearest Neighbor

Question

What are other names for an independent variable?

Question

What are other names for a dependent variable?

Question

An analyst is looking at creating a regression model using the amount of rain fall each monthly and the monthly lavender crop yield. What would you identify as the dependent variable and what would you identify as the independent variable?

Question

In your own words, what is multicollinearity?

Question

In your own words, why would multicollinearity be something to look out for?