simple_regression

# simple_regression - Regression Statistics Multiple R 0.81...

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Regression Statistics Multiple R 0.81 Correlation Coefficient R Square 0.65 Correlation Coefficient squared Adjusted R Square 0.65 Standard Error 303.14 (SSE) Closer to Zero the better the fit of the line because there is less error unaccounted for Observations 100 35% of variation not shared measures the proportion of the variation of y that is explained by x - we can say then that 65% of the variation in auction price is explained by variations in the the variations in odometer readings. - does not say one causes the other!!!! 65% of the variation the 2 is shared 100% of variation in miles of odometer 100% of variation in auction price

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y x Car Price Odometer Color 1 14636 37388 1 2 14122 44758 1 3 14016 45833 3 4 15590 30862 3 5 15568 31705 2 6 14718 34010 2 7 14470 45854 1 8 15690 19057 3 9 15072 40149 1 10 14802 40237 1 11 15190 32359 2 12 14660 43533 1 13 15612 32744 1 14 15610 34470 2 15 14634 37720 2 16 14632 41350 1 17 15740 24469 3 18 15008 35781 1 19 14666 48613 1 20 15410 24188 1 21 14300 38775 3 22 14498 45563 1 23 15550 28676 2 24 14654 38231 3 25 14384 36683 3 26 15088 32517 1 27 14108 39050 1 28 14230 45251 1 29 14820 34384 1 30 15058 38383 3 31 15014 32161 3 32 15746 26561 2 Dependent Variable Independ ent variabl
33 14606 33533 1 34 14474 41849 1 35 14766 36668 3 36 14572 37495 1 37 15654 25629 2 38 14966 40099 2 39 14880 31014 1 40 14430 42233 1 41 14210

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## This note was uploaded on 03/15/2011 for the course WCOB 1033 taught by Professor Jensen during the Spring '05 term at Arkansas.

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simple_regression - Regression Statistics Multiple R 0.81...

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