Answer:
B. In considering our costs, we need to include what we could have earned by working at part-time jobs instead.
Explanation:
When the group of college students include, in their analysis of costs, what they could have earned by working at part-time jobs instead, they are including the opportunity cost.
The opportunity cost is what is given up to do something: the cost of not choosing an alternative.
Including opportunity costs in their cost-benefit analysis reveals sound economic thinking.
Answer:
- Dr Bad Debt expense 6,000
- Cr Allowance for Doubtful Accounts account 6,000
Explanation:
The total estimated bad debts are $4,800 (= $80,000 x 6%). So the Allowance for Doubtful Accounts account ending balance should be $4,800. Since this account is a contra asset account, the ending balance should be $4,800 credited.
But currently the account has a $1,200 debit balance (it's like -$1,200), so the adjustment record must be = $4,800 + $1,200 = $6,000
That way the ending balance = $6,000 - $1,200 = $4,800
The journal entries should be:
- Dr Bad Debt expense 6,000
- Cr Allowance for Doubtful Accounts account 6,000
The answer is "<span>economic risks".
</span><span><span>
</span><span>Economic risk</span><span> is the possibility
that macroeconomic conditions like trade rates, government direction, or
political security will influence a venture, typically one in a remote nation.
Beside the business hazard related with making the plant profitable, the
semi-conductor company is open to economic risk.</span></span>
Answer:
a. The estimated coefficient for size is approximately <u>13.81</u>.
b. In the regression, two predictors are used. These two predictors are size and fireplace (FP).
Explanation:
a. The estimated coefficient for size is approximately _____.
Estimated coefficient for size = Standard Error of size * t-Stat of size = 1.2072436 * 11.439 = 13.81
Therefore, the estimated coefficient for size is approximately <u>13.81</u>.
b. How many predictors (independent variables) were used in the regression?
Independent variables can be described as variables that are changed or manipulated in order to measure the effect of their changes on the dependent variable. Independent variables are therefore also called predictors because they employed to predict the dependent variable.
In the regression, two predictors are used. These two predictors are size and fireplace (FP).
