AP Stats Midterm Interpretation Sentences

starred terms you must write

*Slope

The predicted (y-context) increases / decreases by (slope value) for each additional (x-context).

Y-intercept

The predicted (y-context) when x=0 (context) is (y-intercept).

*Correlation (r)

The correlation (r= ) indicates that the linear relationship between (x-context) and (y-context) is (weak/moderate/strong) and (positive/negative).

*Residual

The actual (y-context) was (residual value A-P) (less than/greater than) the predicted value based on the (x-context).

*Residual Plot

A linear model is/is not appropriate for relating (context) because there is not/is a clear (describe pattern shown is not appropriate) in the residual plot.

*Coefficient of Determination (r²)

About (r² as a percent) of the variability in the (y-context) is accounted for by the LSRL with (x= ).

Standard Deviation (of linear regression)

The actual (y-context) is typically about (value of s) away from the (response) predicted by the LSRL for the given value of (explanatory).

*Percentile

(Percentile value as a %) of (context) is/are less than or equal to (context).

*Mean (expected value of probability)

If many, many (context) are randomly selected, the average (context) will be about (mean value).

*Standard Deviation (of probability)

If many, many (context) are randomly selected, the (context) will typically vary by about (standard deviation) from the mean of (mean value).

SOCV + context

Describe the shape, center, variability, and outliers of a distribution.

DUFS + Context

Describe the strength, direction, form, and unusual features of the relationship.

General Probability

There is about a (probability %) chance that a randomly selected (context).

Conditional Probability

Given that the randomly chosen condition context, there is about a (probability %) chance that (other context).