Answer:
The nominal wage in 2003 = $15.22
The nominal wage in 2004 = $15.565
Explanation:
Inflation = [ ( CPI of 2003 - CPI of base year ) ÷ CPI of Base year ] × 100
= [ ( 184 - 100 ) ÷ 100 ] × 100
= 84%
Therefore,
The wage will increase by this inflation to be nominal
= 8.28 × (1.84)
= $15.23
Similarly
Inflation = [ ( CPI of 2004 - CPI of base year ) ÷ CPI of Base year ] × 100
= [ ( 188.9 - 100 ) ÷ 100 ] × 100
= 88.9%
Therefore,
The wage will increase by this inflation to be nominal
= 8.24 × (1.889)
= $15.565
Hence,
The nominal wage in 2003 = $15.22
The nominal wage in 2004 = $15.565
It should be reported as an ordinary<span> gain</span> because the truck is considered as ordinary <span>asset used in the ordinary course of business. The truck was used as service calls apparently used in the normal operation of the company thus the gain on the sale of this asset should be considered </span>as an<span> ordinary gain.</span>
Answer: The correct answer is "b. lose because Kelly had no legal duty to rescue him."
Explanation: Bob will lose because Kelly had no legal duty to rescue him,
While Kelly could have had a better attitude and at least tried to save him, she had no obligation to rescue him from the position he was in because of himself since Bob ignored the warning signs.
The closest to the total cost if the firm uses 6,000 machine hours is $2,945.95.
<h3>What is regression analysis?</h3>
The term regression analysis is defined as a combination of statistical methods utilised for the for the relation between a variable which is not dependent and a variable which is dependent.
The prediction errors that will be represented by vertical lines from regression line to the point.The main purpose or aim of regression analysis is to confirm the value of the variable which is dependent. The second objective of regression line is to calculate the effect of elaborately variable on the variable which is dependent.
Therefore,the closest to the total cost if the firm uses 6,000 machine hours is $2,945.95.
Learn more about regression analysis here:
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