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In general, there are 3 main stages in Linear regression:

1. Use Least-squqres to fit a line to the data

2. Calculate

R^{2}

3. Calculate a

p-value

for

R^{2}

1. Use Least-squares to fit a line to the data

First, draw a line through the data.
Second, calculate the Residual sum of squares: Measure the distance from the line to the each data point (residual), square each distance, and then add them up.

The distance from a line to a data point is called a residual

The regression equation: $y=a+bx$

The slope is the amount of change in units of

y

for each unitchange in

x

.

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