This is meant for interpreting all types of different values :)
Interpret power…
If Ha context is true at a specific value there is a power probability the significance test will correctly reject Ho.
Interpret standard error of the slope…
Interpret percentile…
percentile (%) of context are less than or equal to value.
Interpret correlation…
The linear association between x-context and y-context is weak/moderate/strong and positive/negative.
Interpret residual…
The actual y-value was residual above/below the predicted value when x-context = #.
Interpret y-intercept
The predicted y-context when x= 0 context is y-intercept.
Interpret slope…
The predicted y-context (increases/decreases) by slope for each additional x-context
Interpret standard deviation of residuals…
The actual y-context is typically about (s-value) away from the value predicted by the LSRL.
Interpret correlation of determination…
___% of the variation in y-value in context can be accounted for by the linear relationship with x-value in context
Interpret binomial mean…
After many, many trials the average # of success context of n is mu
Interpret binomial standard deviation…
The number of success context out of n typically varies by a standard deviation from the mean of mu.
Interpret standard deviation of sample proportion…
The sample proportion of success context typically varies by (standard deviation) from the true proportion of (___)