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.
Answer:
the answer is C
Explanation:
why ? the redemption is used for marketing to define or even to know how in the future your company reach their economic profit levels,and also to the shareholder benefits, so that's why when the company put on the market the outstanding stock , they decide how many any shareholder could get. they are looking always to increase their own business but if the company say that after redemption you must own less than 80% of his percentage ownership, its not common , nobody could get less even 50% of his own outstanding shares stock.
The item is followed by three dots
Answer:
<em>The adjustment for overapplied overhead </em><em><u>decreases cost of goods sold and increases</u></em><em> </em><em>net income</em>
