The following is a set of data from a sample of n =11items Complete parts​ (a) through left parenthesis c right parenthesis . X 6 36 27 54 21 39 24 9 39 39 33 Y 2 12 9 18 7 13 8 3 13 13 11 a. Compute the covariance.     ​(Round to three decimal places as​ needed.) b. Compute the coefficient of correlation.     ​(Do not round until the final answer. Then round to three decimal places as​ needed.) c. How strong is the relationship between X and​ Y? Explain.   A. X and Y have no correlation.   B. X and Y have a perfect positive correlation because all points fall on a straight line with a positive slope.   C. X and Y have a perfect negative correlation because all points fall on a straight line with a negative slope.   D. X and Y have a strong positive correlation because as X​ increases, Y tends to increase also.

Read the t statistic from the table of t distributions and circle the correct answer. A two-tailed test, a sample of 40 at a .01 level of significance; t = choice a,b,c,d as followed     2.708     1.328     1.96     2.567

Find the sample variance and standard deviation. 22, 10, 4, 8, 11 Choose the correct answer below. Fill in the answer box to complete your choice. (Type an integer or a decimal. Round to one decimal place as needed.) OA. 2= B. s²= Choose the correct answer below. Fill in the answer box to complete your choice. (Round to one decimal place as needed.) OA. σ= B. s=

What is answer for question b)

Calculate the standard deviation of the following returns.  Year       Return 1             0.01 2             0.27 3             0.02 4             0.02 5             0.22  Enter the answer with 4 decimals, e.g. 0.1234.

If Y(subscript 1) = 116 and Y(subscript 7) = 225, then the simple index number for period 7 (denoted I(subscript 7)) is:?

q27-  Which of the following related to the Correlation coefficient (r) are true?     Select one: a. r = +1: a perfect linear relationship exists between the two variables b. r > 1: a non-linear relationship between the two variables c. r = 0: a weak linear relationship between the two variables d. r = -1: no linear relationship exists between the two variables

Suppose you're given a data set that classifies each sample unit into one of four categories: A, B, C, the data as A = 1, B=2, C = 3, and D=4. Are the data consisting of the classifications A, B, C, and D or quantitative? Are the data consisting of the classifications A, B, C, and D qualitiative or quantitative? OA. Qualitative, because they are measured on a naturally occuring numerical scale. B. Quantitative, because they are measured on a naturally occuring numerical scale. C. Quantitative, because they can only be classified into categories. D. Qualitative, because they can only be classified into categories. *** After the data are input as 1, 2, 3, or 4, are they qualitative or quantitative? OA. Qualitative, because they cannot be meaningfully added, subtracted, multiplied, or divided. B. Qualitative, because they are measured on a naturally occurring numerical scale. OC. Quantitative, because they are measured on a naturally occurring numerical scale. OD. Quantitative, because…

Over the past four days, the realized values of the random variable A are: 8, -2, 2 and 11. In the same order, the realized values of the random variable B are: 6, 2, 2 and -10. Compute the correlation between A and B.

q8-  When visualising the distribution of a variable using a histogram, if only the right tail has outliers, the data distribution is:   a. Right-skewed b. Normal c. Left-skewed d. Uniform