Answer:
Check the explanation
Explanation:
Please the answer to this question is in the attached file
You can confirm the answer by planning income statement with the calculated amount of unit so that whenever you’re through with the calculation, you must get an income figure of 240000. As the amount of units are in decimal so +/- of small number could be possible like you will get the operating income of 240005 if you put 13077 units .
Answer: c. Globalization and manufacturing
Explanation:
Globalization could be defined as the scenario where a business develops the international audience or market it needs for its business.
Globalization and manufacturing affect the transportation system due to some countries are very much developed to carry out efficient business while some are not ready, then production, some countries are ready and have adapted to excellent measures in production and easy transporting of them globally while those which have not trial behind when they can't meet up.
Answer:
A) Probability neglect
Explanation:
You probably have lived there so long that you neglect to see what the true crime is, and you honestly could care less if its at it all time high
Answer:
A. 0.684
Explanation:
A seasonal index refers to an index that is used to compare the value for a particular period with the average value of all periods.
The purpose of using a seasonal index is to show the relationship between the two values, and the degree to which the two values are different.
The seasonal index can be calculated as the latest value for a period divided by the average of all periods. Therefore, we have:
Seasonal index for July = Latest value for July / Average demand over all months = 130 / 190 = 0.684.
Therefore, he approximate seasonal index for July is 0.684.
Answer:
The predicted value of Revenue is $98.24.
Explanation:
The data provided is for the weekly gross revenue, the amount of television advertising and the amount of newspaper advertising.
Determine the regression equation developed to estimate the amount of weekly gross revenue based on television advertising using Excel.
Consider the Excel image for Summary Output for Weekly Revenue Vs. T.V. Adv.
The estimated regression equation with the amount of television advertising as the independent variable is:
<em>Revenue </em>= 89.31 + 1.27 <em>TVAdv</em>
Consider the Excel image for Summary Output for Weekly Revenue Vs. T.V. Adv. & News Adv.
The estimated regression equation with both television advertising and newspaper advertising as the independent variables is:
<em>Revenue </em>= 83.78 + 1.78 <em>TVAdv</em> + 1.47 <em>NewsAdv </em>
For TVAdv = $4.9 and NewsAdv = $3.9 predict the value of Revenue as follows:


Thus, the predicted value of Revenue is $98.24.