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scatterplot
There is a [strong/weak] [positive/negative] [shape] association between [x-context] and [y-context]. There [do/do not] appear to be any outliers.
correlation (r)
There is a [strength], [direction] linear relationship between [variable] & [variable].
slope of a regression line (b)
As [explanatory variable] increases by one unit, the predicted [response variable] increases by [b] [units].
y-intercept of a regression line (a)
When [x-context] is 0, the predicted [y-context] is [a] [units].
predicted value (y-hat)
[y-hat] is the predicted value of [response variable y] when [explanatory variable] is [input amount]
residual
the actual/true [y-context] is [higher/lower] than the predicted [y-context] by [residual]
standard deviation of the residuals
When using the LSRL, the predicted number of [y-context] is typically [s units] off from the actual number
coefficient of determination (r2)
About [r2]% of the variability in [y-context] is accounted for by the LSRL