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Okay, so for the first part of our course on regression,
we're gonna start with something that's called simple regression.
And as the name implies, it's just a very simple form of regression,
where we assume that we just have one input.
And we're just trying to fit a line.
Okay, but before we get to starting to talk about this simple regression model,
let's just recall our task of interest.
Where our case study is discussing how to predict house prices.
So in particular, we have some house that we wanna list for
sale, but we don't the value of this house.
And as we discussed at fairly great length in the first course of the specialization,
what we're going to do in this case,
is we're going to look at other houses that sold in the recent past.
And look at how much they've sold and different characteristics of those houses,
and use that data to inform our listing price for
our house that we'd like to sell.
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