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# System prepended metadata

title: Linear Regression Output Interpretation

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# Linear Regression Output Interpretation

## Article(s) Scope

### Overall Topics Covered
1) Regression Output Interpretation
    - Degress of Freedom and R-Squared
    - F-Statistic and its P-value
    - Log-Likelihood
    - AIC and BIC
    - Coefficients and LinReg's Controlled Experiment
    - The Bottom of the Output

3) Linear Regression Assumptions (Two Groups)
    - Group #1: The one that we can test for
    - Group #2: The ones that are a bit more heady

### Theme and Scope
I thought about how this should be written and I kept noticing the 'Scope creep' going on in my head. I think the theme I am leaning on "Practial Intution supported by examples". I think that communicating the intuition of everyhing would be suffice vs going deep in the math behind each concept. 

Scope: An intuitive and practical guide to The Operator/Practicioner, not so much the researcher.

### Style of Writing 
How I have come to better understand statistics is by always asking myself "What question is this fancy number trying to answer?". When you understand that question, you begin to better understand the behaviour of a model and the logic of 'Why' asking that question is important. So in that spirit I think it would be best to tackle each component with the following structure:

- What question are we trying to answer?
- Intuition behind this question
- Application/Example

Next Steps:
- Consolidate all my notes on Regression Output statistics.
- Finalize my notes on Linear Regression Assumptions
    - Link: https://1drv.ms/u/s!AkSX43LpVK6Egr9DuIQuKZVHNaKHug
