D) Canada since the cost per unit of output will be lower.
A German worker earns $6 per hour with a X productivity, we can assume X = 10 units, so the labor cost in Germany = $6 / 10 units = $0.60 per unit
A Canadian worker earns $10 per hour with a 2X productivity, we can assume X = 10 units, so the labor cost in Canada = $10 / 20 units = $0.50 per unit
Canadian direct labor is 20% more efficient than German labor.
work in process inventory
The journal entry to record overhead applied is shown below:
Work in progress inventory A/c Dr XXXXX
To Factory overhead A/c XXXXX
(Being applied overhead is recorded)
And, the journal entry to record over applied is presented below:
Manufacturing overhead A/c Dr XXXXX
To Cost of Goods sold A/c XXXXX
(Being over-applied overhead is recorded)
Over applied is come when actual overhead based on predetermined rate is more than the actual manufacturing overhead
Answer: Less - Developed Country
Less - Developed Countries (LDCs) are countries that are usually classified as 3rd world countries. They are characterised by low annual income.per capita and living standards as well as high poverty rates.
Their main industry is usually Agriculture and there are low literacy rates plaguing the country.
The Country described above is a less developed country. It has an annual income per capita of $2,300 which is quite small when compared with that of a Developed country like Liechtenstein with $165,000 annual income per capita.
Most of it's population engage in Agriculture as shown by the 54% ascribed to Agriculture and it has a literacy rate of 48% which is quite low.
All these as well as the 37.7% statistic showing how many people are in poverty confirms that this a Less Developed Country.
The word is called Broadcasting.
F. A linear model on Size accounts for 68.6% of the variation in home Price.
R-squared () is a statistical measure used in a regression model to describes the percentage or proportion of variance or variation in a dependent variable which is explained by or can be predicted from the independent variable of the model.
R-squared is also known the coefficient of determination.
In the question, the dependent variable is the price, while the independent variable is the size. That is why the aim is to determine the percentage or proportion of variance or variation of price of homes which is explained by or can be predicted from the size of homes.
Given the R-squared of 68%, the correct answer is option F which states that "a linear model on Size accounts for 68.6% of the variation in home Price". This implies that 68% variation in the price of home can be explained by or predicted from the size of home.
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