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.
Hi !!
The largest consumer debt concerns home mortgage.
it has gone up to 9,14 trillions.
In second place comes student loans
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The marginal analysis will be least beneficial when D. deciding whether to take a lunch break or knock on another door as a door-to-door salesperson.
<h3>What is marginal analysis?</h3>
Marginal analysis simply means an examination of the additional benefits and the additional cost that can be incurred on a product.
In this case, marginal analysis will be least beneficial when deciding whether to take a lunch break or knock on another door as a door-to-door salesperson.
Learn more about marginal analysis on:
brainly.com/question/4893420
To learn how people are searching online, a keyword analysis would be most relevant.
Answer:
- $17,600
Explanation:
The computation of the net decrease in cash during the month is shown below:
= $40,600 - $17,400 - $30,200 - $2,300 - $8,300
= - $17,600
After calculating the items which are presented in the column 1 represent the net decrease in cash for $17,600 amount.
The net decrease in cash represents an outflow of cash. In this, the chances of loss may be higher than the loss.
