A technique for finding the regression line.
least squares
An observed relationship between two quantitative variables. While this is most
commonly a linear relationship, it does not need to be. Note that observing a relationship
does NOT imply that there is a meaningful causal link between the variables.
, correlation
The p-value cutoff for statistical significance. Any p-value below the set significance level
is considered statistically significant.
significance level
A graph that uses dots on a coordinate plane to show the relationship between variables.
scatterplot
The line of best fit to show the relationship between variables, the one that minimizes
distance from each data point to the line.
regression line
A relationship of cause and effect between two or more variables.
least squares
An observed relationship between two quantitative variables. While this is most
commonly a linear relationship, it does not need to be. Note that observing a relationship
does NOT imply that there is a meaningful causal link between the variables.
, correlation
The p-value cutoff for statistical significance. Any p-value below the set significance level
is considered statistically significant.
significance level
A graph that uses dots on a coordinate plane to show the relationship between variables.
scatterplot
The line of best fit to show the relationship between variables, the one that minimizes
distance from each data point to the line.
regression line
A relationship of cause and effect between two or more variables.
