RESIDUALS AND CORRELATION COEFF

Front

What is correlation?

Back

Correlation is a statistical measure that describes the extent to which two variables change together. It can be positive, negative, or zero.

Front

Define positive correlation.

Back

Positive correlation occurs when an increase in one variable leads to an increase in another variable.

Front

Define negative correlation.

Back

Negative correlation occurs when an increase in one variable leads to a decrease in another variable.

Front

What does no correlation mean?

Back

No correlation means that there is no relationship between the changes in two variables.

Front

What is a scatter plot?

Back

A scatter plot is a graph that shows the relationship between two quantitative variables by displaying data points.

Front

What is a line of best fit?

Back

A line of best fit is a straight line that best represents the data on a scatter plot, indicating the trend of the data.

Front

What is a residual in statistics?

Back

A residual is the difference between the observed value and the predicted value from a regression model.

Front

How do you calculate a residual?

Back

Residual = Observed value - Predicted value.

Front

What is the y-intercept in a linear equation?

Back

The y-intercept is the value of y when x is 0 in a linear equation, represented as (0, b) in the equation y = mx + b.

Front

What does a positive correlation coefficient indicate?

Back

A positive correlation coefficient indicates that as one variable increases, the other variable tends to increase as well.