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Stats: Chapter 7
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PREDICTED VALUE
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Found by using a linear model and substituting in an x-value to predict y.
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Terms in this set (11)
PREDICTED VALUE
Found by using a linear model and substituting in an x-value to predict y.
RESIDUALS
Observed value - predicted value
LEAST SQUARES RESIDUALS (LSR)
A unique line that minimizes the sum of the squared residuals
REGRESSION EQUATION FOR A LINE
SLOPE
"y-units per x-unit, on average"
SLOPE FORMULA
INTERCEPT
Gives a starting point in y-units. The y-value when x =0
INTERCEPT FORMULA
R-SQUARED
Gives the fraction (percent) of the variability of y accounted for by the change in x.
DOES THE PLOT THICKEN? CONDITION
The scatterplot or residuals plot should show a consistent spread.
LINEAR REGRESSION CONDITIONS TO CHECK
Quantitative Variables, Straight Enough, Outliers, Does the Plot Thicken