Answer:
$38,000 loss
Explanation:
For calculation of entry to record the sale of the tractor first we need to determine the total depreciation and net book value on Jan 1, 2018 which is shown below:-
Total depreciation = (Tractor cost - Salvage value) × (Hours in 2016 + Hours in 2017) ÷ Hours of operation
= ($180,000 - $20,000) × (2,400 + 2,100) ÷ 10,000
= $72,000
Net book value on January 1, 2018 = Tractor cost - Total depreciation
= $180,000 - $72,000
= $108,000
Loss on sale = Sold tractor amount - Net book value on January 1, 2018
= $70,000 - $108,000
= $38,000
Answer:
Transformation process.
Explanation:
When a line cook in a restaurant uses raw meat to cook a hamburger that becomes part of the restaurant's Super Burger Special, the cook is taking part in a transformation process.
A transformation process can be defined as the capabilities possessed by an organization, which are then integrated into technology, internal processes, and management, for the singular purpose of converting inputs into outputs in order to meet the needs or requirements of their customers.
In this scenario, the cook uses raw meat as an input in the creation of an output, which is the restaurant's Super Burger Special.
Answer:
B. shortage of 1,000 gallons per week
Explanation:
Price = $1
Quantity demanded = 2,000
Quantity supplied = 1,000
Shortage = Quantity demanded - Quantity supplied
= 2,000 -1,000
= 1,000 gallons per week
Therefore, As per question Quantity demand that is 2,000 and quantity supplied that is 1,000. So, in this given case the Quantity demand is more than the quantity supplied.
Hence, there is shortage of 1,000 gallons per week.
Answer: Repeat little and often. It's alarming how quickly students can forget vocabulary. Encouraging students to focus on new vocabulary daily is the best way to make it stick. It doesn't have to involve sitting down for hours; little and often will help get vocabulary into students long term memory.
Answer:
b. other than 1
Explanation:
Nonlinear models are called that way because they are not linear in parameters. In order for this nonlinear characteristic to exist, the exponents of the parameters must be any number other than 1.
While linear models can have a nonlinear relationship between the predictors and independent variables. But when you analyze the mean (predictor), it must be linear with the parameters.
