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.
Based on the metrics given, we can say that shipping errors were <u>not very impactful </u>on customer questions.
<h3>Relationships between metrics</h3>
- Customer questions kept rising by 2% from the first month till the third month.
- Shipping errors (shipped incorrectly) rose by 2% from the first to the second month and then stayed constant.
What we then realize is that even though questions kept rising, shipping errors only rose once which means that shipping errors did not account for much of customer questions. If it did, the customer questions would have stayed constant as well.
In conclusion, shipping errors were not very impactful.
Find out more on performance metrics at brainly.com/question/4295533.
Answer:
A) it was engaged in foreign direct investment.
Explanation:
Foreign Direct Investment is a term used in business-related operations that describes a kind of investment made by an investor in a country other than the actual or original country of the investor. It can be either business operations or business assets in a different firm in another country.
Hence, in this case, when a Japanese automaker, built a factory in Ohio, it was engaged in foreign direct investment. Therefore, the correct answer is option A.
I would like to buy a car with the income I would make, it would be a equity investment. I chose this item because it would help me get to work and places on my owns. I would also like to buy or rent a house with my income, this would also be a equity investment, it would give me a place to live to a long-period of time. I would like to invest in a strong company would wants to help the good in the world, this is a debt investment, it would give a strong face to the world.
A is the answer to this question