Business
Business, 03.12.2019 18:31, perezsamantha3oqr0za

Observation month known x known y overhead cost production units $250,000.00 34000 $184,000.00 26000 $165,000.00 21000 $178,000.00 24000 $192,000.00 28000 $225,000.00 32000 $210,000.00 29000 $230,000.00 3 $195,000.00 29000 $224,000.00 31000 $200,000.00 3 12 $240,000.00 33000 result using regression using lines 7.35 % 7.08 % 7.86 % 7.42 % 6.86 % 7.03 % 7.24 % 7.67 % 6.72 % 7.23 % 6.67 % 7.27 % high $250,000.00 $165,000.00 $34,000.00 $21,000.00 low summary output regression statistics multiple r 0.934936081 r square 0.874105475 adjusted r square 0.861516023 standard error 1396.53715 observations 12 anova df f significance f 8.22744e-06 ms 135413506.6 1950316.01 regression residual total 69.43157205 ss 135413506.6 19503160.1 15491.7 10 intercept x variable 1 coefficients 1247.961489 0.133182696 standard error 3344.93565 0.015983405 t stat 0.373089835 8.332560954 p-value 0.716868393 8.22744e-06 lower 95% -6205.019589 0.097569451 upper 95% 8700.942567 0.168795942 lower 95.0% -6205.019589 0.097569451 upper 95.0% 8700.942567 0.168795942

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Observation month known x known y overhead cost production units $250,000.00 34000 $184,000.00 26000...

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