Linear regression model

Linear regression is like guessing how much ice cream someone will eat based on how hot it is outside. We can use a special formula to predict how much ice cream someone would eat depending on how hot it is. This formula has numbers in it that we get by looking at how much ice cream people ate in the past when it was different temperatures outside.

So, we can plug in the temperature and the formula will tell us how much ice cream that person is likely to eat. That's basically a linear regression - we're predicting one thing (ice cream) based on another thing (temperature), using data from the past to help us make the prediction.

In other words, linear regression is a method of finding a line that best fits two sets of data by looking at the relationship between them. It's used to make predictions or understand how one variable affects another variable.