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Following Are Selected Accounts for Green Corporation and Vega Company

question 40

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Following are selected accounts for Green Corporation and Vega Company as of December 31, 2015. Several of Green's accounts have been omitted. Following are selected accounts for Green Corporation and Vega Company as of December 31, 2015. Several of Green's accounts have been omitted.   Green acquired 100% of Vega on January 1, 2011, by issuing 10,500 shares of its $10 par value common stock with a fair value of $95 per share. On January 1, 2011, Vega's land was undervalued by $40,000, its buildings were overvalued by $30,000, and equipment was undervalued by $80,000. The buildings have a 20-year life and the equipment has a 10-year life. $50,000 was attributed to an unrecorded trademark with a 16-year remaining life. There was no goodwill associated with this investment. Compute the December 31, 2015 consolidated retained earnings. A)  $1,645,375. B)  $1,350,000. C)  $1,565,375. D)  $1,840,375. E)  $1,265,375. Green acquired 100% of Vega on January 1, 2011, by issuing 10,500 shares of its $10 par value common stock with a fair value of $95 per share. On January 1, 2011, Vega's land was undervalued by $40,000, its buildings were overvalued by $30,000, and equipment was undervalued by $80,000. The buildings have a 20-year life and the equipment has a 10-year life. $50,000 was attributed to an unrecorded trademark with a 16-year remaining life. There was no goodwill associated with this investment.
Compute the December 31, 2015 consolidated retained earnings.


Definitions:

Coefficient Of Determination

A metric in statistics that evaluates the percentage of variability in the outcome variable that can be explained by the predictor variable(s).

SSE

Sum of Squared Errors, a measure used in statistics to quantify the discrepancy between data points and a model's predictions.

SSR

Sum of Squares due to Regression, a measure indicating how well a regression model fits the data.

SSE

The Sum of Squared Errors represents the difference between observed data points and the values predicted by a model.

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