# Data Science - Regression Table - Coefficients

## The "Coefficients Part" in Regression Table • Coef is short for coefficient. It is the output of the linear regression function.

The linear regression function can be rewritten mathematically as:

Calorie_Burnage = 0.3296 * Average_Pulse + 346.8662

These numbers means:

• If Average_Pulse increases by 1, Calorie_Burnage increases by 0.3296 (or 0,3 rounded)
• If Average_Pulse = 0, the Calorie_Burnage is equal to 346.8662 (or 346.9 rounded).
• Remember that the intercept is used to adjust the model's precision of predicting!

Do you think that this is a good model?

## Define the Linear Regression Function in Python

Define the linear regression function in Python to perform predictions.

What is Calorie_Burnage if Average_Pulse is: 120, 130, 150, 180?

### Example

def Predict_Calorie_Burnage(Average_Pulse):
return(0.3296*Average_Pulse + 346.8662)

print(Predict_Calorie_Burnage(120))
print(Predict_Calorie_Burnage(130))
print(Predict_Calorie_Burnage(150))
print(Predict_Calorie_Burnage(180))
Try it Yourself »

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