Difference between revisions of "Página de pruebas"

Revision as of 20:01, 27 December 2020

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

.

@@ Line 3: / Line 3: @@
-*'''1''' Use '''Least-squqres''' to fit a line to the data
+In general, there are 3 main stages in Linear regression:
-*'''2''' Clculate <math>R^2</math>
+: '''1'''. Use '''Least-squqres''' to fit a line to the data
-*'''3''' Calculate a <math>p-value</math> for <math>R^2</math>
+: '''2'''. Calculate <math>R^2</math>
+: '''3'''. Calculate a <math>p-value</math> for <math>R^2</math>
+<br />
+: '''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'''
+:* Then, we rotate the line a little bit and calculate the RSS
+:* ...
+:* ...
+:* Then, we find the rotation that has the least RSS.