Attracting and retaining employees with the skills, abilities, and experience is a key component of a<u> human resource</u> management system.
<h3>What is
human resource management system?</h3>
Human resource management system has to do with carrying out specific function such as effectively managing everything that has to do with human resource.
Human resource management system is important for companies as it enables them to choose employees that has the best skills and experience to move the company forward so as to enable the company achieve their goals.
Therefore attracting and retaining employees is a key component of a<u> human resource</u> management system.
Learn more about Human resource management system here:brainly.com/question/21976973
Answer:
my baby daddy.
Explanation:
I forgot to take the pill :(
Answer:
103.4709
Explanation:
The computation is shown below:
Given that
U.S inflation rate = 3%
Japan inflation rate = 1.5%
Current exchange rate = 105
Now the new exchange rate for the yen is
= Current exchange rate × (1 + Japan inflation rate) ÷ (1 + U.S inflation rate)
= 105 × (1 + 1.5%) ÷ (1 + 3%)
= 105 × (1.015 ÷ 1.03)
= 105 × 0.985436893
= 103.4709
Answer:
$778.05625
Explanation:
The computation of the amount of repayment is shown in the attachment below:
Given that
Proceeds for year 4 through 9 at $2Z, $3Z
The Principal of the loan amount = $10,000
Interest rate = 7% per year
Based on the given information, the value of Z or the amount of repayment is
= Principal of the loan amount ÷ Total annuity
= $10,000 ÷ 12.85254119
= $778.05625
Answer:
a) H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
b) t stat = -0.064
c) We will reject the Null hypothesis and the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
Explanation:
<u>a) stating the null and alternative hypothesis</u>
H0: u = presence of a unit root
HA: u ≠ presence of a unit root ( i.e. stationary series )
<u>b) performing the test </u>
critical value = -2.88
T stat = coefficient / std error
= -0.02 / 0.31 = -0.064
c) From the test, the value of T stat > critical value we will reject the Null hypothesis hence the next step will be to accept the alternative hypothesis
d) It is not valid to compare the estimated t stat with the corresponding critical value because a random walk is non-stationary while the difference is stationary because it is white noise
