https://beginningwithml.wordpress.com/2018/07/02/5-locally-weighted-linear-regression/
Locally weighted linear regression is a general linear regression method, it's also a local regression method. We can know more about local regression by checking its related wiki: https://en.wikipedia.org/wiki/Local_regression

University of Michigan - Ann Arbor

A regression problem involves predicting quantitative, continuous, output value in supervised machine learning.

Regression Problem

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning (Vol. 112, pp. 3-7). New York: springer.

An Introduction to Statistical Learning with Applications in R

Predicting the height of a pediatric patient for a given year based on family trends and input data about the patient's current height/weight data.

Example of A Regression Problem

- Linear regression
- Nonlinear regression

Types of regression

https://towardsdatascience.com/regression-an-explanation-of-regression-metrics-and-what-can-go-wrong-a39a9793d914

Regression Metrics

What is the differnce between classification and regression?

Locally Weighted Linear Regression

Regression models predict a value Y given a set of X variables.
In the regression model $Y \sim X$, we measure the effect of $X$ on $Y$, i.e., we measure the association between changes in values of $X$ and changes in values of $Y$.
Analyzing a regression model is a method used to solve a regression problem.

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