1. Which of these following statistical techniques can explain the linear relationship of two variables? Choose all the right ones.
A. linear regression
B. covariance
C. correlation
D. variance
E. standard deviation
2. Covariance is always between -1 and +1. And its size is independent of the scale of the variables. T or F?
3. Give the data points of two variables (X & Y) below calculate the sample covariance.
X= 12, 30, 15, 24
Y= 20, 60, 27, 50
4._______ correlation means that two completely unrelated factors that may have a mathematical correlation but have no sensible correlation in real life. Fill in the blank.
5. When the data points spread all over the four quadrants (meaning, no discernible pattern) the cova4iqnd3 is near or equal to zero. T or F?
6. S&P Vs Dow Jones industrial average monthly returns typically show_____?
A. Positive/ negative relations ship
B. a negative linear relationship
C. no discernible pattern
D. a positive linera relationship