https://github.com/cano1998/simple-linear-regression

Project where I applied simple linear regression to predict the charges for individuals based on their age. Specifically, I focus on predicting the charges for a 70-year-old person.
https://github.com/cano1998/simple-linear-regression

simple-linear-regression

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Project where I applied simple linear regression to predict the charges for individuals based on their age. Specifically, I focus on predicting the charges for a 70-year-old person.

• Host: GitHub
• URL: https://github.com/cano1998/simple-linear-regression
• Owner: Cano1998
• Created: 2024-05-13T17:57:57.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-06-25T14:48:18.000Z (5 months ago)
• Last Synced: 2024-06-25T16:23:58.562Z (5 months ago)
• Topics: simple-linear-regression
• Language: Jupyter Notebook
• Homepage:
• Size: 135 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
This repository contains a project where we applied simple linear regression to predict the charges for individuals based on their age. Specifically, we focus on predicting the charges for a 70-year-old person.

The goal of this project is to use a simple linear regression model to estimate the charges incurred by individuals based on their age. By fitting a linear model to the data, we can make predictions for charges at specific ages, such as 70 years old.

The analysis involves the following steps:

Data Preprocessing: Preparing the data for model training.

Exploratory Data Analysis: Visualizing the relationship between age and charges.

Simple Linear Regression: Fitting a linear regression model to predict charges based on age.

Prediction: Using the model to predict the charges for a 70-year-old person.

The key findings were:

Linear Relationship: The analysis confirms a linear relationship between age and charges.

Model Coefficients: The regression model provides coefficients that quantify the relationship.

Prediction for 70-Year-Old: The predicted charges for a 70-year-old individual are calculated using the model.

Model Coefficients:

Intercept: 

𝛽

0

​

 

Slope (Age coefficient): 

𝛽

1

​

 

Prediction for a 70-Year-Old:

Using the model Charges=

𝛽

0

+

𝛽

1

×

Age

Charges=β 

0

​

 +β 

1

​

 ×Age, the predicted charges for a 70-year-old person are calculated.