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Okay, so for the first part
of our course on regression,

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we're gonna start with something
that's called simple regression.

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And as the name implies, it's just
a very simple form of regression,

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where we assume that we
just have one input.

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And we're just trying to fit a line.

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Okay, but before we get to starting to
talk about this simple regression model,

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let's just recall our task of interest.

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Where our case study is discussing
how to predict house prices.

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So in particular,
we have some house that we wanna list for

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sale, but
we don't the value of this house.

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And as we discussed at fairly great length
in the first course of the specialization,

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what we're going to do in this case,

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is we're going to look at other
houses that sold in the recent past.

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And look at how much they've sold and
different characteristics of those houses,

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and use that data to inform
our listing price for

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our house that we'd like to sell.

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