How to use math to figure out correlations

Slides:



Advertisements
Similar presentations
Unit 4: Linear Relations Minds On 1.Determine which variable is dependent and which is independent. 2.Graph the data. 3.Label and title the graph. 4.Is.
Advertisements

Section 7.1 ~ Seeking Correlation
Lecture 17: Correlations – Describing Relationships Between Two Variables 2011, 11, 22.
Correlations Determining Relationships: Chapter 5:
Scatter Diagrams Isabel Smith. Why do we use scatter diagrams?  We use scatter diagrams to see whether two sets of data are linked, e.g. height and shoe.
Correlation and regression 1: Correlation Coefficient
Chapter 14 – Correlation and Simple Regression Math 22 Introductory Statistics.
Intro to Research: How Psychologists Ask and Answer Questions Correlation and Description.
Sec 1.5 Scatter Plots and Least Squares Lines Come in & plot your height (x-axis) and shoe size (y-axis) on the graph. Add your coordinate point to the.
Using Recursion in Models and Decision Making MAMDM4a-b
Correlation.  It should come as no great surprise that there is an association between height and weight  Yes, as you would expect, taller students.
April 1 st, Bellringer-April 1 st, 2015 Video Link Worksheet Link
.  Relationship between two sets of data  The word Correlation is made of Co- (meaning "together"), and Relation  Correlation is Positive when the.
ContentDetail  Two variable statistics involves discovering if two variables are related or linked to each other in some way. e.g. - Does IQ determine.
Copyright © 2009 Pearson Education, Inc. 7.1 Seeking Correlation LEARNING GOAL Be able to define correlation, recognize positive and negative correlations.
Stem-and-Leaf Plots …are a quick way to arrange a set of data and view its shape or distribution A key in the top corner shows how the numbers are split.
Linear Models and Correlation  Linear Function- A set of ordered pairs (x,y) which can be described by an equation of the form y=mx+b, where m and b.
CORRELATION. Correlation  If two variables vary in such a way that movement in one is accompanied by the movement in other, the variables are said to.
Welcome to Week 05 College Statistics
Warm-up Get a sheet of computer paper/construction paper from the front of the room, and create your very own paper airplane. Try to create planes with.
7.1 Seeking Correlation LEARNING GOAL
Sit in your permanent seat
Scatter Plots and Correlation Coefficients
Correlations FSE 200.
Sit in your permanent seat
Statistics 200 Lecture #6 Thursday, September 8, 2016
Pearson’s Correlation Coefficient
Sit in your permanent seat
Essential Math For Economics
PSYCH - Unit Correlations
Chapter 3: Describing Relationships
Lesson 4.5 Topic/ Objective: To use residuals to determine how well lines of fit model data. To use linear regression to find lines of best fit. To distinguish.
Correlations Correlations
CHAPTER 7 LINEAR RELATIONSHIPS
Scatter plots.
Correlations and Scatterplots
Review for Test Chapters 1 & 2:
Statistical Analysis of Research
Elementary Statistics
Scatterplots A way of displaying numeric data
Linear Trends and Correlations
CORRELATION & LINEAR REGRESSION
Understanding Research Results: Description and Correlation
Theme 7 Correlation.
2. Find the equation of line of regression
Two Way Frequency Tables
Looking for Relationships…
AGENDA: Quiz # minutes Begin notes Section 3.1.
Chapter 7 Part 1 Scatterplots, Association, and Correlation
Unit 2 Research and Methods.
QM222 Dec. 5 Presentations For presentation schedule, see:
Introduction to bivariate data
Using Scatter Plots to Identify Relationships Between Variables
two variables two sets of data
Descriptive Statistics:
Day 42 – Understanding Correlation Coefficient
Section 1.4 Curve Fitting with Linear Models
Do Now Describe the following relationships. Do Now Describe the following relationships.
SCATTER PLOTS.
Coefficient of Correlation
An Introduction to Correlational Research
EXPERIMENT VS. CORRELATIONAL STUDY
SCATTER PLOTS AND LINES OF BEST FIT
Scatterplots Scatterplots may be the most common and most effective display for data. In a scatterplot, you can see patterns, trends, relationships, and.
Processing and Representing Data
How Do Psychologists Ask and Answer Questions?
Correlation & Trend Lines
AP Psychology August 18th pg 6
1.1 Research Methods and techniques
Introduction to Excel 2007 Part 1: Basics and Descriptive Statistics Psych 209.
Presentation transcript:

How to use math to figure out correlations

Common Misconception A correlation DOES NOT MEAN a causation Just because two things are correlated does not mean one causes the other to happen https://www.huffingtonpost.com/2014/05/15/spurious- correlations-graphs-make-no-sense-video_n_5325835.html IB Bio

While there are correlations…. Sour cream consumption does not CAUSE motorcycle death (as far as we know People getting married in kentucky DOES NOT cause people to fall out of boats and drown (as far as we know

Scatterplots can give us a quick visual/ rough idea if two variables are correlated When scatter dots go from bottom left to upper right= Positive/ Direct relationship These relationships can be strong or weak (we will discuss this further)

Scatterplots can give us a quick visual/ rough idea if two variables are correlated When scatter dots go from upper left to bottom right= Negative/ Indirect relationship These relationships can be strong or weak (we will discuss this further) Weak negative correlation

NOTE TO SELF!!!!!!! Don’t associate positive with strong or good… It is simply stating the direction of the trend Likewise don’t associate negative with a weak or bad relationship… Simply telling us how the graph looks

But Ms. Willson I want to say that there is a causal relationship (i.e. x causes y) How can I EVER do this?!?!?!?! Well young grasshoper… You do an experiment :0 In a CONTROLLED STUDY you get two groups of individuals who are comparable in every way and give them two different treatments If results/ outcomes are drastically different, one treatment may have caused an outcome

This is great BUT… what is the BEST way to know how strongly correlated two variables are. I need me some NUMBERS Dude!!!!!

KARL PEARSON and the Pearson Correlation Coefficient (r)

Mind blown We’ll Break it down

Multiply X with its associated y for every value you collected Add up all of your y values Square each x value and add them together How many samples you took Square each y value and add them together Add up all of your x values TYPO Square root Parentheses

Still lost miss willson!!!

Here’s the practice problem X Y 5 45 15 32 18 37 20 33 25 24 29 30 26 34 22 38 50

Here’s a suggested way to set up your table of info

Now go through the steps on your handout Now go through the steps on your handout. If you need help, ask a friend or ask me