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43 changes: 22 additions & 21 deletions README.md
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Expand Up @@ -6,34 +6,35 @@ To write a python program to implement multivariate linear regression and predic
2. Anaconda – Python 3.7 Installation / Moodle-Code Runner
## Algorithm:
### Step1
<br>

import pandas as pd.
### Step2
<br>

Read the csv file.
### Step3
<br>

Get the value of X and y variables.
### Step4
<br>

Create the linear regression model and fit.
### Step5
<br>

Predict the CO2 emission of a car where the weight is 2300kg, and the volume is 1300cm cube.
## Program:
```






import pandas as pd
from sklearn import linear_model
df = pd.read_csv("carsemission.csv")
X = df[['Weight', 'Volume']]
y = df['CO2']
regr = linear_model.LinearRegression()
regr.fit(X, y)
print('Coefficients:', regr.coef_)
print('Intercept:',regr.intercept_)
predictedCO2 = regr.predict([[3300, 1300]])
print('Predicted CO2 for the corresponding weight and volume',predictedCO2)
```
## Output:

### Insert your output

<br>
![image](https://github.com/Gokkul-M/Multivariate-Linear-Regression/assets/144870543/4a4ced3d-9d3e-4f0d-9cdf-695807e54e27)
Insert your output
Coefficient: [0.00755095 0.00780526]
Intercept: 79.69471929115939
Predicted CO@ for the corresponding weight and volume [114.75968007]

## Result
Thus the multivariate linear regression is implemented and predicted the output using python program.
Thus the multivariate linear regression is implemented and predicted the output using python program.