Answer:
Step-by-step explanation:
Correlation describes how strongly pairs of given variablé are related. In this case, a detailed analysis that was carried out shows that the number of days missed by employees explains 60% of the variation in salary increases and also impressed upon this fact that employees who missed more days of work during the year received smaller raises than those who missed fewer days.
From the analysis, we can draw a conclusion that there is a correction between days missed and variation in salary increase and that this type of correction is a negative correlation where an increase in the number of days missed will lead to a decrease in the raises awarded to each employee.
Rational ! the number doesn't repeat forever or anything like that. it simplifies nicely.
Answer:
A. 
Step-by-step explanation:
We are given,
The table representing the closing prices of stock for the last five days is,
Day Value
1 472.08
2 454.26
3 444.95
4 439.49
5 436.55
Using the linear regression calculator, we have that,
<h3>The linear equation that best fits the data is

</h3>
Thus, option A is correct.