Answer:
operational business processes
Explanation:
The processes carried out within a company are divided into:
- operational business processes: carried out by entry level employees and includes routine daily business processes
- tactical or managerial business processes: carried out by lower management or supervisors and includes semi-routine monthly business processes
- strategic business processes: carried out by upper management and includes dynamic, non-routine long-term business decision processes
<u>".30"</u> is one most likely to find between hours spent studying each week and cumulative gpa among college students.
The correlation coefficient is a statistical measure that figures the quality of the connection between the relative developments of the two factors. The scope of qualities for the relationship coefficient limited by 1.0 on a flat out esteem premise or between - 1.0 to 1.0. In the event that the relationship coefficient is more prominent than 1.0 or not exactly - 1.0, the connection estimation is inaccurate. A connection of - 1.0 demonstrates an immaculate negative correlation, while a connection of 1.0 demonstrates a flawless positive correlation. A connection of 0.0 shows zero or no connection between the development of the two factors.
Answer:
a. 41.6 million
b. 42.28 million
Explanation:
A) GIven
forecast in june = Sjune = 42 million
Checks recived in june = Xjune = 40 million
Smoothing constant = a = 0.2
So for july
Sjuly = a*Xjune + (1-a)*Sjune
=0.2*40 + (1-0.2)*42 million
=8+33.6 = 41.6 million
B) forecast in july = Sjuly = 41.6 million
Checks recived in july = Xjuly = 45 million
Smoothing constant = a = 0.2
So for August
Saugust = a*Xjuly + (1-a)*Sjuly
=0.2*45 + (1-0.2)*41.6 million
=9+33.28 = 42.28 million
<em>Note: This uses an exponential smoothing to forecast the results, but from the number of checks recived we see that it increases linearly. So we need a linear forecasting method .</em>
Answer:
Income elasticity = 2
Normal good
Explanation:
Below is the given values:
Percentage decrease in consumers income = 10%
Percentage decrease in quantity demanded = 20%
Use the below formula to find the income elasticity:
Income elasticity = % change in quantity demanded / % in income
Income elasticity = -20/-10
Income elasticity = 2
Since the elasticity is 2 that means good is normal good.