The simple exponential smoothing is a method suitable
for predicting data with no style or seasonal pattern. While
in Moving Averages the past observations are weighted similarly, Exponential
Smoothing allocates exponentially lessening weights as the
observation get older.
<span>Forecast for upcoming week = 25.10 + 0.3 (31 – 25.10) =
26.87</span>
Dressing to impress for interviews would typically involve wearing professional dress in order to look smart and presentable.
<h2>Bob has to follow some of the listed tips (not exhaustive) in addition to the due diligence he has done about his employer. </h2>
Some of the options he has would include:
- A suit, jacket and tie
- A semi-formal trousers and a shirt
- Sweater and necktie.
Dressing properly for interviews would put Bob in a better light as it shows he is serious about the job. It also shows he is interested in the position, and finally demonstrates an understanding of the company's corporate culture.
Learn more about #interviews and #dress codes here: brainly.com/question/15128068?referrer=searchResults
Answer:
Not enough information
Explanation:
from this question, this mayor has only given us the estimated proportion of the rate of unemployment for these months. In order to know if it is significant or not, we have to carry out other tests such as the hypothesis testing for the population proportion. But here we do not have any sample data or population data with which we can use to test this significance. The sample size is unknown so we cannot proceed to test if the claim is significant or not.
Answer:
There are several ways to compute the degree of operating leverage (DOL). A fairly intuitive approach is expressed below.
DOL = (sales - variable costs) / (sales - variable costs - fixed costs)
For Kendall, the DOL is computed as follows:
DOL = (1,000 * $60 - 1,000 * $60 * .30) / (1,000 * $60 - 1,000 * $60 * .30 - $30,000) = 3.5
<em>hope this helps</em>
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The best thing that you should do in this scenario would be :
- Gather as much as information as you can regarding the issue (maybe by asking input from your associates)
- analyze the issue completely thoroughly
- Believe in yourself and create the best decision based on your analytic
hope this helps
