Consider the following sample data:
x | 8 | 10 | 7 | 5 | 2 |
y | 11 | 2 | 7 | 4 | 8 |
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 places.)
b. Calculate the correlation coefficient.
(Round your intermediate calculations to 4 decimal places
and final answer to 2 decimal places.)
Consider the following sample data: x 11 7 5 5 4 y 3 10 13 6 11 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 4 decimal places and final answer to 2 decimal places.) Covariance b. Calculate the correlation coefficient. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) Correlation coefficient
Consider the following sample data: x 14 16 17 18 20 y 20 14 17 12 13 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 places.) b. Calculate the correlation coefficient. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.)
x 7 10 8 4 3 y 8 11 9 5 4 a. Calculate the covariance between the variables. (Negative value should be indicated by a minus sign. Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) b-1. Calculate the correlation coefficient. (Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) b-2. Interpret the correlation coefficient. There is _____ no, a weak negative, a weak positive, a strong...
Consider the following sample data: 17 13 24 20 27 23 20 20 31 25 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 places) b. Calculate the correlation coefficient.(Round your intermediate calculations to 4 decimal places and final answer to 2 decimal places.) Correlation coefficient
Consider the following sample data: X y 22 101 24 139 27 250 21 88 23 87 14 14 14 16 15 20 Click here for the Excel Data File b. Calculate by and bo. What is the sample regression equation? (Negative values should be indicated by a minus sign. Round your intermediate calculations to 4 decimal places and final answers to 2 decimal places.) y-hat = c. Find the predicted value for y if x equals 20, 100 and...
Consider the following sample data: x 13 3 5 15 6 y 389 206 97 35 6 b-1. Calculate the sample covariance. (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) Sample covariance b-2. Interpret the sample covariance. The covariance indicates that x and y have a positive linear relationship. The covariance indicates that x and y have a negative linear relationship. The covariance indicates that x and y have no linear relationship....
15.00 points Consider the following sample data Click here for the Excel Data File b. Calculate b, and by What is the sample regression equation? (Round Intermediate calculations to at least 4 decimal places and final answers to 2 decimal places) c. Find the predicted value for y if x equals 22 27 and 32 (Round intermediate coefficient values and final answers to 2 decimal places.) If x= 22 If x=27 If x= 32
Consider the following sample data: x 32 23 18 36 13 40 35 24 y 31 37 34 60 25 45 43 38 Click here for the Excel Data File b. Calculate b1 and b0. What is the sample regression equation? (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) yˆy^ + x c. Find the predicted value for y if x equals 11, 16, and 21. (Round intermediate coefficient values and final answers to...
Consider a sample with 10 observations of 11, –3, 8, 8, 10, 1, –2, 13, 8, and –4. Use z-scores to determine if there are any outliers in the data; assume a bell-shaped distribution. (Round your answers to 2 decimal places. Negative values should be indicated by a minus sign.) The z-score for the smallest observation The z-score for the largest observation There are outliers or no outliers in the data. The historical returns on a portfolio had...
Consider a sample with 10 observations of 11, –3, 8, 8, 10, 1, –2, 13, 8, and –4. Use z-scores to determine if there are any outliers in the data; assume a bell-shaped distribution. (Round your answers to 2 decimal places. Negative values should be indicated by a minus sign.) The z-score for the smallest observation The z-score for the largest observation There are outliers or no outliers in the data. The historical returns on a portfolio had...