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).
Answer:
yes
Explanation:
Based on this scenario, it can be said that yes the attorney's actions are proper because the referral fee was reasonable. A standard referral fee percentage could be around 10% for a closed job, starting at around 2-5% for e-mail introductions and even up to 15-20% for referrals where the referrer deals alone with the client. As long as the referral fee is reasonable and the attorney is not taking advantage then his/her actions are proper and ethical.
Answer:
$850
Explanation:
Data provided in the question:
Initial investment = $15,000
Expected annual net cash flows over four years, R = $5,000
Return on the investment = 10% = 0.10
Present value of an annuity factor for 10% and 4 periods, PVAF = 3.1699
The present value of $1 factor for 10% and 4 periods = 0.6830
Now,
Net present value = [ R × PVAF ] - Initial investment
= [ $5,000 × 3.1699 ] - $ 15,000
= $15,849.50 - $ 15000
= $849.50 ≈ $850
Answer:
Salary 2019= $112,404.7
Explanation:
Giving the following information:
Salary 2012= $70,000
Inflation rate= 7%
Salary 2019= ?
To calculate the nominal value of your salary to maintain the purchasing power, we need to use the following formula:
FV= PV*(1+i)^n
FV= 70,000*(1.07^7)
FV= $112,404.7
