Residual
The predicted value for (y) when (x=___) is (residual) from the actual value of (actual y) when (x=___).
Slope of LSRL
For each additional (x), the (y) is predicted to (slope in context).
Standard Deviation of Slope
On average, the predicted values deviate from the actual values by (standard deviation as a percent). When using the LSRL to predict (x) from (y) we will typically be off by (standard deviation as a percent).
r²
(r² value as a percent) of the variation in (y) is accounted for by the LSRL relating (x) to (y).
Standard Error (SE) for Slope
For samples of size n, the typical deviation of a sample slope from the population (true) slope is estimated to be (Standard Error)
Mean of Discrete Variable
If there were many many trials conducted, you would be expected to result with (mean of discrete variable)
Mean of Sample
The average number of (sample) is (mean)
Standard Deviation of Mean
On average, an individual will vary from the (mean) by about (standard deviation)