AP Stats Unit 9

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10 Terms

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Linear

Linear scatter plot and residual plot shows no curvature

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Independent

less than 1/10

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Normal

residual dot plot shows no strong skew or outlier

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Equal SD

no obvious heteroskedastic trend in the residual plot

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Random

Random selection

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B

the true slope of the population LSRL for x and y

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a

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

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b

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

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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)

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SEb

the slope of the sample LSRL typically varies from the slope of the population LSRL by about x units