ap stats unit 2 sentence frames

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10 Terms

1
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interpreting residuals (positive)

The actual (response variable) is greater than predicted by (residual units)

2
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interpreting residuals (negative)

The actual (response variable) is less than predicted by (residual units)

3
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interpreting s

When using the LSRL with (explanatory variable) to predict (response variable), we will typically be off by (value of s with units of response variable y)

4
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interpreting r²

r²% of the variation in (response variable) can be explained by the linear relationship with (explanatory variable)

5
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CDOFS

context, direction, outliers/clusters, form, strength

6
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interpreting slope

for every 1 (unit) increase in (explanatory variable), our model predicts an average increase/decrease of (slope) in (response variable)

7
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interpreting y-intercept

When the (explanatory variable) is zero (units), our model predicts that the (response variable) would be (y-intercept)

8
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high leverage/not an outlier

changed slope/y-intercept

9
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low leverage/outlier

lowered r

10
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high leverage/outlier

changed slope/y-intercept/lowered r