Sec 10.3complete

# Sec 10.3complete - Sec 10.3 Regression This section...

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Sec. 10.3 Regression This section presents methods for finding the equation of t that best fits a scatterplot of the sample data. The best-fitti Def: Given a collection of paired data, the regression line line that "best" fits the scatterplot of the data. The regression equation: slope: y-intec algebraically describes the regression line. Use technology to find the slope b1 and the y-int b0. is called the regression line, and its equation is called the r 1 o y b b x

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the straight line tting straight line e(or line of best fit, or least-squares line) is the straight cept: regression equation. 1 y x s b r s 0 1 b y b x
Sec. 10.3 Regression Use the same data sets as Sec 10.2. In each case, find the first variable be the predictor (x) variable. Find the the prediction guideline. Use either : #14 x y PSAT SAT r= 0.5432912 183 2200 sy 184.52642 207 2040 sx= 21.976855 167 1890 b1(slope)= 4.5616889 206 2380 197 2290 y-bar= 2152.5 142 2070 x-bar= 183.875 193 2370 bo (y-int) 1313.7195 176 1980 y^= b0+b1x y^=1313.719+4.562x or slope: y-intecept: yˆ=b₀+b₁x 1 y x s b r s 0 1 b y b x

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