The diminishing marginal product of labor exists when the last worker hired produces <u>"less output than the previous worker".</u>
The law of diminishing marginal productivity is an economic standard. It expresses that while expanding one information and keeping different contributions at a similar dimension may at first increment yield, further increments in that information will have a constrained impact and will in the end have no impact, or a negative impact, on yield. The law of diminishing marginal productivity clarifies why expanding creation isn't generally the most ideal approach to build profitability.
Answer:
B. purchasing more machinery.
Explanation:
Marginal return can be defined as the return rate which a firm or a business experiences when they increase the amount of variable input that is been used in that firm or organisation.
It is important to note that all other input apart from the variable input remains constant.
Examples of variable inputs that a firm or organisation can increase
a. Purchase of more machinery
b. Increasing the amount of labour in the firm.
Answer:
C. poorly chosen mortgage loans, falling housing prices, and a contracting economy.
Explanation:
According to my research on the events that caused the 2007/2008 economic crisis in the United States of America, it can be said that there was a "perfect storm" of factors that contributed to this economic crisis. This Perfect Storm of factors were poorly chosen mortgage loans, falling housing prices, and a contracting economy. These factors combined caused the housing market to crash which also led to the stock market crashing.
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Answer:
$ 61,000
Explanation:
Calculation for the amount that Firm ABC should report as retained earnings as of March 1, 2021
Retained earnings Balance $ 85,000
Less: Shares issued ($9,000)
(1500 *$6 per share)
Less: Net Loss ($15,000)
Ending Balance $61,000
Therefore the amount that Firm ABC should report as retained earnings as of March 1, 2021 will be $61,000
Answer:
The Correlation analysis “R” is measured to compute the strength of relationship among variables. Moreover, the value of correlation is calculated among -1 to +1. Which implies that if the computed value is near to -1 then there will be strong but negative relation and if near to +1 then it is strong but relation among the variable. However zero is consider as neutral point.
A. The computed value of correlation is - 0.772. The value identifies that that there is a strong but negative association among the variables (GDP and infant mortality rate).
B. The correlation analysis cannot computed among the variables continent and GDP because "continent" is a categorical variable not quantitative.
C. The computed value of correlation is higher than 1. Thus, the statement implies that there is a very strong relationship among life expectancy and GDP which is incorrect. As the association cannot be higher than 1.
D. There is a strong relationship among literacy rate and GDP as the relationship is nearer to 1. Furthermore, the association among literacy rate and GDP doesn’t suggest the causation.
E. The computed correlation among the variables is 0.90. Which indicated that the variables goes up. That is, when the GDP goes down the import is also decrease and when GDP increases the import increases Thus, the there is a positive correlation.