Simple Correlation Coefficient

Descriptive Analysis

The first level of analysis, this helps researchers find absolute number to summarize individual variables and find patterns

Inferential Analysis

These complex analyses show the relationships between multiple variables to generalize results and make predictions

Correlation

It describes the relationship between 2 variables

Regression

Shows or predicts the relationship between 2 variables

Analysis of variance

Tests the extent to which 2+ groups differ

Correlation Analysis

Finding the relationship between two quantitative variables without being able to infer causal relationships

Correlation

A statistical technique used to determine the degree to which two variables are related

Scatter Diagram

• Rectangular coordinate

• Two quantitative variables

• One variable is called independent (X) and the second is called dependent (Y)

• Points are not joined

• No frequency table

Scatter Plots

The pattern of data is indicative of the type of relationship between your two variables:

• Positive Relationship

• Negative Relationship

• No Relationship

Positive Relationship

Variables that are positively correlated move in the same direction (/)

Negative Relationship

Variables that are negatively correlated move in opposite directions (\)

No Relationship

If the points on the scatter plot seem to be scattered randomly, (there is no relationship or no correlation between the variables)

Correlation Coefficient

Statistic showing the degree of relation between two variables

Pearson’s Correlation or Product moment correlation Coefficient

Simple Correlation Coefficient is also called?

Nature and Strength

Simple Correlation Coefficient measures the _____________ between two variables of the quantitative type

Simple Correlation Coefficient

It measures the nature and strength between two variables of the quantitative type

• Direct - if the sign is positive

• Indirect if the sign is negative

Sign of r (nature of association)

• Strong

• Intermediate

• Weak

Value of r (strength of association)