3.1.notebook
September 19, 2016
3.1 Intro to
Scatter Plots
Scatter Plots:
A graph of plotted data points that show the relationship between two sets of data
TSW: 1. Identify different types of correlations
2. Describe the correlations
3. Determine if a correlation results in a
causal relationship and explain
4. Estimate on a scale the correlation
coefficient
Oct 6­8:00 AM
Oct 6­8:00 AM
Linear Correlations:
y
Stronger Positive
Correlation
Other Correlations:
y
x
y
Weaker Positive
Correlation
x
Stronger Negative
Correlation
y
x
y
No Correlation
x
x
y
Exponential
Correlation
Weaker Negative
Correlation
x
x
Oct 6­8:00 AM
Causal connections from Scatter Plots
Correlation does not imply causation!
Your scatter plot may show that a relationship exists, but it cannot prove that one variable is causing the other. Quadratic
Correlation
y
Oct 6­8:00 AM
r = correlation coefficient
Estimate how close a line would fit the data
Let's watch a video
­1 = Perfect Negative Fit
1 = Perfect Positive Fit
0 = No Fit
Oct 6­8:00 AM
Oct 6­8:00 AM
1
3.1.notebook
September 19, 2016
Example 1
Example 2
Type of correlation:
Type of correlation:
Describe the correlation:
Describe the correlation:
Is there a causal connection?
Is there a causal connection?
Rate how close a line would fit the data:
1= Perfect Positive Fit 0= No Fit ­1= Perfect Negative Fit Rate how close a line would fit the data:
1= Perfect Positive Fit 0= No Fit ­1= Perfect Negative Fit Oct 6­8:00 AM
Oct 6­8:00 AM
Example 3
Type of correlation:
Describe the correlation:
Is there a causal connection?
Type:
Describe:
Rate how close a line would fit the data:
1= Perfect Positive Fit 0= No Fit ­1= Perfect Negative Fit Oct 6­8:00 AM
Oct 6­8:00 AM
3.1 Worksheet
Oct 6­8:00 AM
2