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Here are the "canned statements" to learn for the AP Statistics exam for Unit 2 (Linear Regression0

1

slope

For every 1 increase in [x], the [y value] is predicted to increase/decrease by _____.

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2

y intercept

When the [x value] is 0, we predict the [y-value] to be _____.

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3

Describe the relationship.

There is a [strong, moderate, weak], [positive, negative], [linear, nonlinear] relationship between [x in context] and [y in context]

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4

r value (correlation coefficient)

There is a [strong, moderate, weak], [positive, negative], [linear, nonlinear] relationship between [x in context] and [y in context]

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5

RĀ² (correlation of determination)

____% of the variation in [y value in context] is explained by its linear relationship with [x value in context].

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6

Standard deviation of residuals (s)

The typical distance between the actual [y values in context] and the predicted [y values in context]

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