+ All Categories
Home > Documents > Correlation and regression lesson 1 Introduction.

Correlation and regression lesson 1 Introduction.

Date post: 28-Dec-2015
Category:
Upload: derrick-warner
View: 226 times
Download: 1 times
Share this document with a friend
Popular Tags:
14
Correlation and regression lesson 1 Introduction
Transcript
Page 1: Correlation and regression lesson 1 Introduction.

Correlation and regression lesson 1

Introduction

Page 2: Correlation and regression lesson 1 Introduction.

What is this type of graph called?

A scatter diagramWhat is a line of best fit?

Page 3: Correlation and regression lesson 1 Introduction.

Correlation

Lines of best fit always go through the mean of both sets of data

Page 4: Correlation and regression lesson 1 Introduction.

Scatter diagramsScatter diagrams illustrate bivariate data that is when two variables are

compared.

On your whiteboard draw scatter diagrams to illustrate positive correlation, negative correlation and no correlation.

How well the variables fit to a straight line of best fit is the measure of correlation they exhibit.

The two types of correlation are positive and negative.

Page 5: Correlation and regression lesson 1 Introduction.

Drawing lines of best fit• Draw suitable axis and plot the given points• Calculate the mean for both variables• Draw the line of best fit (through the middle of the points and the mean

of both sets of data)• Use the line of best fit to make estimates

Time x 10 15 20 25 30

Weight y 5.1 4.2 3.5 3.1 2.8

Page 6: Correlation and regression lesson 1 Introduction.
Page 7: Correlation and regression lesson 1 Introduction.
Page 8: Correlation and regression lesson 1 Introduction.

Product Moment Correlation Coefficient (PMCC)

The product moment correlation coefficient r is a statistical measure of how well each data point lies on a straight line

It has a value between 1 (perfect positive correlation) and -1 (perfect negative correlation).

In the exam questions it is acceptable to use a calculator to find r.

Page 9: Correlation and regression lesson 1 Introduction.
Page 10: Correlation and regression lesson 1 Introduction.

Using a calculator to calculate PMCC (r)

x 1 3 5

y 3 7 11

Stats mode

Enter the data as two lists

GRPH F1 twice (should draw a scatter graph for the data)

CALC (F1

F2 which looks like a X, then F2 ( a + bx)

This should give the results a = 1, b = 2 and r = 1 the other results can be ignored

Page 11: Correlation and regression lesson 1 Introduction.

Matching activity

Page 12: Correlation and regression lesson 1 Introduction.
Page 13: Correlation and regression lesson 1 Introduction.

One for you to try

Page 14: Correlation and regression lesson 1 Introduction.

Recommended