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Stats: Chapter 7

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PREDICTED VALUE

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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.

Observed value - predicted value

LEAST SQUARES RESIDUALS (LSR)

A unique line that minimizes the sum of the squared residuals

REGRESSION EQUATION FOR A LINE

Image: REGRESSION EQUATION FOR A LINE

"y-units per x-unit, on average"

Image: SLOPE FORMULA

Gives a starting point in y-units. The y-value when x =0

INTERCEPT FORMULA

Image: INTERCEPT FORMULA

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