<span>Programming languages used to create artificial intelligence and expert system applications are often called fifth generation languages. This programming language works by solving using the restrictions given to the program unlike the conventional method of using an algorithm developed by a programmer.</span>
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.
Caroline will most likely be performing the prescriptive role of marketing research. Prescriptive analytics are known for processes data from their findings and using it to better suit the company in marketing tactics. Then they are able to present it to their team and in this situation, know which items are top sellers and which aren't. Caroline will use this data to determine what customers are attracted to, what they buy and how she can bring in more revenue to the jewelry store she manages.
