Chapter 3 Stats sentence frames

Key terms for Test Chapter 3 CN AP STATS

Coefficient of determination→ r² or r

About __%___ of the variability in y-context is accounted for by the LSRL.

About __%___ of the variability in y-context is accounted for by the LSRL.

Coefficient of determination→ r² or r

Residual

Actual- Predicted= ?

Interpret the Residual

The actual context above/below the predicted value for x-contex/x=#

Interpret SD of residuals → s

The actual y-context is typically about (s) away from the number predicted by the LSRL.

Interpret the y-intercept.

When x-context predicted y-context is y-intercept

Interpret the slope

With each additional x-context the predicted y-context increases/decreases by slope#

Extrapolation

estimating a value that is/may be out of your data range- causes inaccurate information.

Influential Points

An outlier that affects slope, y-int, and/or correlation.

High leverage Points

Extremely low or high outlier in the graph.

D.U.F.S. + Context

Direction (+/-), Unusual Features (Outliers/Clumps), Form (Linear/ Non-linear), Strength (weak/moderate/strong), + context

Interpret r (not the sentence frame)

define only these D.F.S

Explanatory Variable

Used to predict/ input/ on the x-axis

Response

The outcome/ output/ on the y-axis

Choosing the best model requires:

• check the scatterplot for a linear form.

• check residual plot for a random scatter.

• check the r² closest to 1 (strongest)

unnamed- name the variables

named

The actual context above/below the predicted value for x-contex/x=#

Interpret the Residual

The actual y-context is typically about (s) away from the number predicted by the LSRL.

Interpret SD of residuals → s

When x-context predicted y-context is y-intercept

Interpret the y-intercept.

With each additional x-context the predicted y-context increases/decreases by slope#