📈
Fit a line to the data
Each dot is a past month of ad spend and sales — tilt and raise the line to fit them, then press Train and watch it settle on the best fit.
Sales revenue (₹ lakh)
Ad spend (₹ lakh)
Error
—
Slope
0.35
Intercept
29
Past months (data)
Fitted line
Error (residual)
Prediction
Tilt (slope)
0.35
Height (intercept)
29
Total error
—
Adds up how far every dot sits from the line (squared). Smaller means a better fit — it hits zero-ish only when the line threads the data.
Train the model
Reset
Predict at
16
Spend ₹16 lakh → the line predicts revenue.
The model learned the line that best fits past data — now it
predicts new values
.