Consider the following sample data: x 10 7 20 15 18 y 22 15 19 14 15 Click here for the Excel Data File a. Calculate the covariance between the variables. (Negative value should be indicated by a minus sign. Round your intermediate calculations to at least 4 decimal places and final answer to 2 decimal place

a. Covariance between x and y = – 1.25

b. Correlation coefficient = – 0.07

Step-by-step explanation:

Note: This question is not complete. The complete question is therefore provided before answering the question as follows:

Consider the following sample data:

x 10 7 20 15 18

y 22 15 19 14 15

Required:

a. Calculate the covariance between the variables. (Negative value should be indicated by a minus sign. Round your intermediate calculations to at least 4 decimal places and final answer to 2 decimal place.

b. Calculate the correlation coefficient (Round your intermediate calculations to at least 4 decimal places and final answer to 2 decimal place.)

The explanation to the answer is now given as follows:

Note: See the attached excel file for the calculations of the sum of x and y, means of x and y, deviations of x and y, multiplications of deviations of x and y, and others.

a. Calculate the covariance between the variables. (Negative value should be indicated by a minus sign. Round your intermediate calculations to at least 4 decimal places and final answer to 2 decimal place.)

In the attached excel file, we have:

N = Number of observations = 5

Mean of x = Sum of x / N = 70 / 5 = 14

Mean of y = Sum of y / N = 85 / 5 = 17

x - Mean of x = Deviations of x = see the attached excel file for the answer of each observation

y - Mean of y = Deviations of y = see the attached excel file for the answer of each observation

Multiplications of the deviations of x and y = (x - Mean of x) * (y - Mean of y) = see the attached excel file for the answer of each observation

Sum of the multiplications of deviations of x and y = Sum of ((x - Mean of x) * (y - Mean of y)) = –5

Since we are using a sample, we use (N – 1) in our covariance between x and y as follows:

Covariance between x and y = Sum of ((x - Mean of x) * (y - Mean of y)) / (N – 1) = –5 / (5 – 1) = –5 / 4 = –1.25

b. Calculate the correlation coefficient (Round your intermediate calculations to at least 4 decimal places and final answer to 2 decimal place.)

The correlation coefficient can be calculated using the following formula:

Correlation coefficient = Covariance between x and y / (Sum of (x - Mean of x)^2 * Sum of  (y - Mean of y)^2)^0.5 ………………… (1)

Where, from the attached excel file;

Covariance between x and y = –5

Sum of (x - Mean of x)^2 = 118

Sum of (y - Mean of y)^2 = 46

Substituting the values into equation (1), we have:

Correlation coefficient = –5 / (118 * 46)^0.5 = –5 / 5,428^0.5 = –5 / 73.6750 = – 0.07

6, 10

9, -13

12, -21

18, -23

step-by-step explanation:

you just add 6 to the x-coordinate and subtract 10 from the y-coordinate.

-7

step-by-step explanation:

x^2 + 18x + 74 = (x + 9)^2 - 81 + 74

= (x + 9)^2 - 7.

so q = -7.