Answer:
The correct answer is letter "B": the independent variable.
Explanation:
Multiple regression is a mathematical model used concerning two or more variables when one value is to be used. The independent variable is the reason for the research, and the variables are dependent when they represent the value factors that need to be evaluated and are why the analysis is being carried out.
In the example,<em> the independent variable is the weight of the boxes</em> and <em>the dependent variables are the adjustable stabilizer settings of the rotary valve on the filling machine in three different production shifts</em>.
The ending equity is $315,000 This is just a matter of adding income and subtracting withdraws. So let's do it. "Cragmont has beginning equity of $277,000," x = $277000 "net income of $63,000" x = $277000 + $63000 = $340000 "withdrawals of $25,000" x = $340000 - $25000 = $315000
Answer: Government regulation, Economies of scale
Explanation:
Barriers to entry refers to the restrictions that are imposed on the entry of a new firm or business into the market. These can be,
a). <em>Government regulation</em>- Sometimes the government puts many restrictions on the entry of a new firm. These can be license requirement or by limiting the availability of a resource.
b). <em>Economies of scale</em>- These refer to the efficiency in production that occurs when one firm grows larger in size and is able to cover the entire market at a lower cost than many small firms producing the same good in smaller quantities. The cost of production is lower for a single firm than for many firms.
I believe the correct answer is Hierarchical Authority
Wеbеr's thеοriеs, dеvеlοpеd at thе turn οf thе 20th cеntury, hеlpеd dеfinе thе еcοnοmic and pοlitical systеms еmеrging frοm thе highly cοncеntratеd authοrity οf hеrеditary rulеrs and thеir suppοrtеrs. Thеy dеfinеd many 20th-cеntury institutiοns. Pοwеr in burеaucraciеs is vеstеd in pοsitiοn, nοt pеrsοn, and authοrity travеls thrοugh thе lеvеls οf thе hiеrarchy basеd οn agrееd-upοn functiοns.