PYTHON
Free Section Starter Challenge
25 min
4. Linear Regression: Best-Fit Slope & Predictions
Overview: Fit continuous target variables using ordinary least squares line y = mx + c.
Concept & Syntax Guide
Linear regression models the relationship between a dependent target variable $y$ and independent features $x$. The optimal parameters $m$ and $c$ minimize the Residual Sum of Squares (RSS) between predicted values and actual observation targets.
Hands-On Practice Exercise
Predict Housing Price with Linear Equation
Given slope $m = 300$ (price per sqft) and base intercept $c = 0$, predict price for 1200 sqft.
Target Output:
Predicted Price for 1200 sqft: 360000
Need a hint? Click here to reveal
Hint: Check syntax carefully and make sure your code contains:
Predicted Price for 1200 sqft: 360000
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