Chapter 6: Scatterplots, Association, and Correlation Flashcards
Bivariate Data
Data with two variables. Two quantitative variables are visualized in a scatter plot
Explanatory Variable
Variable that predicts, explains, or influences a trend in the response variable
Response Variable
The measured outcome. Responds to trends in the explanatory variable
Strong Data Vs. Weak Data
Strong: Data closely follows the pattern (Reliable for predictions)
Weak: Data doesn’t follow the pattern (Unreliable for predicitions)
How To Describe Linear Relationships
DUCFS
Direction (Postive/Negative)
Unusual features (Outliers & Clusters)
Context
Form (Linear/Non-Linear)
Strength (Strong/Weak)
Correlation Coefficient (r)
Gives the direction and magnitude; the strength of a linear relationship (-1<=r<=1)
r Relating To Direction & Strength
Negative r = negative correlation
Positive r = positive correlation
r closer to 0 = weaker correlation
|r| closer to 1 = stronger correlation
CORRELATION DOES NOT IMPLY CAUSATION