Definitions
Formulas Relating to the Correlation Coefficient
Linear Combinations of Parameters and Statistics
Regression Models
100

What kind of data involves two variables?

Bivariate Data

100

What's the mathematical symbol for correlation?

 r (rho)

100

What visual tool displays the relationship between two variables?

Scatterplot

100

What's the equation to find the slope of a best-fit line?

Least Squares Regression (LSR)

200

What does a positive correlation tell you?

Positive Correlation - Variables tend to move in the same direction (as one increases, the other increases, or vice versa).

200

What does a correlation coefficient of 0 indicate?

No correlation (r = 0)

200

What are the vertical distances between data points and the best-fit line called?

Residuals

200

What's the most common method for finding the best-fit line?

Slope of the best-fit line

300

What does a negative correlation tell you?

Variables tend to move in opposite directions (as one increases, the other decreases).

300

How can you tell if a correlation is statistically significant?

Statistically significant correlation - Requires additional statistical tests beyond the correlation coefficient.

300

What does a random scatter of points suggest about the relationship?

Random Scatter - No apparent relationship between the variables.

300

What are the limitations of using a linear regression model?

Limitations of Linear Regression - Assumes a linear relationship, may not be suitable for non-linear patterns.

400

What's the difference between correlation and causation?

Correlation vs. Causation - Correlation describes a relationship, but it doesn't necessarily mean one variable causes the change in the other.

400

What does the coefficient of determination (r²) represent?

Coefficient of Determination (r²) - Represents the proportion of variance in one variable explained by the other variable (expressed as a percentage).

400

How can outliers affect the best-fit line?

Outliers - Can significantly affect the slope and position of the best-fit line.

400

What type of regression model is best for non-linear relationships?

Non-linear Regression Model (e.g., polynomial, exponential)