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AP STAT REVIEW: Other
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Statistics
Linear Regression and Correlation
AP Statistics
11th
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Describe Scatter Plot
Form, direction, strength, outliers, unusual patterns, context
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r
\-1 to 1, tells strength and direction of relationship, closer to zero = weaker
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r^2
0 to 1, tells how good of a job the model does, the % of the variation in y that is explained by the variation in x, higher = good
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S
Standard deviation of residuals, typical error of predicted y-values from the observed y-values.
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Heteroskedasicity
variation of the variance
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Slope
for every one unit increase in \[X-VAR\] there is predicted \[SLOPE\] inc/dec in \[Y-VAR\]
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Slope Equation
b = (r) sy/sx
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y-int equation
(y mean) - b(x mean)
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Effect of adding or subtracting a constant
adds/subtracts a from mean/median/quartiles/percentiles, does not change distribution shape or range/IQR/standard deviation
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Effect of multiplying or dividing by a constant
multiplies/divides mean/median/quartiles/percentiles, by b, multiplies/divides range/IQR/std. dev., does nt change snape
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