Answer: Leftward; upwards.
Explanation: A Supply shock is a term used to describe the sudden and unexpected change in the supply of a given product or commodity usually indicated by the leftward shift if the shock is negative in the aggregate supply curve and an upward change in direction in the Phillips curve both on the short run. Both curves are used to demonstrate graphically the impacts of shifts in supply for a given product or commodity.
Answer:
marginal benefit
Explanation:
consumers are most likely going to buy something with value
Direct relation. If iron is used to make steel, and iron is cheaper now, steel will also be cheaper. Decrease in price can mean they have a bunch of it, a surplus.
Supply and demand says if you got a lot of something prices go down. So if you have a lot of cheap iron, you can make a lot of cheap steel
Answer:
The Company should Lease the equipment (Alternative 1)
Explanation:
Preparation of a differential analysis on March 23 as to whether Casper Company should lease or sell the equipment.
DIFFERENTIAL ANALYSIS
Lease Equipment (Alternative 1); Sell Equipment (Alternative 2) Differential Effect on Income (Alternative 2)
Revenues $285,200 $273,400 –$11,800
Costs –$15,100 –$8,202 $6,898
($273,400*3%=$8,202)
Income (Loss) $270,100 $265,198 $4,902
Therefore Based on the above Differential Analysis the Company should LEASE the equipment (Alternative 1).
When marketing managers looks for a relationship between past sales and one or more independent variables, such as population, per capita income, or gross domestic product, they are engaging in regression analysis.
<u>Explanation:</u>
An effective mathematical formalism which enables one to analyze the interaction among two or more interest factors is understood as a regression analysis. While there are several forms of regression analysis, they all analyze the effect of one or more independent variables on a dependent variable at their source.
The linear association among two variables is defined using correlation. Regression is then used to match the best line and predict one variable based on another variable. Regression, then, represents the effect on the dependent variable of the unit shift in the independent variable.
