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The following is a set of data from a sample of n = 11 items. Complete...
The following is a set of data from a sample of n=11 items. Complete parts (a)...
The following is a set of data from a sample of n=11 items. Complete parts (a) through.(c). X 4 19 17 15 12 7 11 6 10 13 18 Y 8 38 34 30 24 14 22 12 20 26 36 Compute the covariance. Compute the coefficient of correlation. How strong is the relationship between X and Y? Explain. ...
please show your work step by step, don't put it in writing sometime i can't read...
please show your work step by step, don't put it in writing sometime i can't
read it, use excel its very important, show me the formula so i can
see how u do it
The following is a set of data from a sample of n = 11 items. Complete parts (a) through (c). o X Y 16 32 8 16 17 34 12 24 18 36 3 6 10 20 19 38 4 8 7 14 15 30 a....
a. Compute the sample covariance. 112.255 (Round to three decimal places as needed.) b. Compute the...
a. Compute the sample covariance. 112.255 (Round to three decimal places as needed.) b. Compute the coefficient of correlation. r= 1.000 (Round to three decimal places as needed.) c. How strong is the relationship between X and Y? Explain. A. The variables X and Y have a perfect negative correlation because all points fall on a straight line with a negative slope. B. The variables X and Y have a perfect positive correlation because all points fall on a straight...
b)y^ Use the accompanying set of dependent and independent variables to complete parts a through c...
b)y^
Use the accompanying set of dependent and independent variables to complete parts a through c below. Click the icon to view the data set. a) Using technology, construct a multiple regression model with the given data. = (O + (x + ( x2 (Round to three decimal places as needed.) i Set of dependent and independent variables - Х 10 12 16 16 22 25 28 32 Гу X1 X2 4 10 17 20 16 10 13 10 6...
B)y^=? Use the accompanying set of dependent and independent variables to complete parts a through c...
B)y^=?
Use the accompanying set of dependent and independent variables to complete parts a through c below. Click the icon to view the data set. a) Using technology, construct a multiple regression model with the given data. y = (( ) + ( x + ( ) x2 (Round to three decimal places as needed.) Х i - Set of dependent and independent variables 46 41 38 38 29 24 22 17 9 У X1 73 63 79 53 44...
Consider the 24 values shown in the table. Complete parts a through d below. 9 18...
Consider the 24 values shown in the table. Complete parts a through d below. 9 18 17 10 33 20 26 32 10 27 18 18 8 15 22 27 22 35 12 22 12 26 32 10 a. A simple random sample of 4 items is shown below. Calculate the sampling error for the sample. 12 32 27 26 The sampling error for the sample is O. (Round to two decimal places as needed.) b. If a random sample...
Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.)...
Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) X 10 9.15 8 8.15 13 8.74 9 8.78 11 9.26 14 8.11 6 6.14 4 3.09 12 9.13 7 7.26 5 4.73 y Click here to view a table of critical values for the correlation coefficient. 10 10- 10- 104 8- 8- 8- 8- . 6- 6- 6- 6- 4- 4- 4- 4- . 2- 2- 2- 2- х х 0 0- 0...
Use the accompanying set of dependent and independent variables to complete parts a through c below....
Use the accompanying set of dependent and independent variables to complete parts a through c below. Click the icon to view the data set. a) Using technology, construct a multiple regression model with the given data. ŷ= 0 + (x + 0x2 (Round to three decimal places as needed.) Set of dependent and independent variables 10 1 16 у X1 X2 12 5 16 5 16 8 11 22 6 1 26 10 9 30 17 7 350 21 11...
For the data set shown below, complete parts (a) through (d) below. x 3 4 5...
For the data set shown below, complete parts (a) through (d) below. x 3 4 5 7 8 y 3 7 6 11 14 (a) Find the estimates of beta 0 and beta 1 . beta 0 almost equalsb 0equalsnothing (Round to three decimal places as needed.) beta 1 almost equalsb 1equalsnothing (Round to three decimal places as needed.)
Score: 0 of 1 pt 6 of 10 (5 complete) 15.1.3-T Use the accompanying set of...
Score: 0 of 1 pt 6 of 10 (5 complete) 15.1.3-T Use the accompanying set of dependent and independent variables to complete parts a through d below. Click the icon to view the data set. a) Construct a 95% confidence interval for the dependent variable when xy = 9 and X2 = 11. The 95% confidence interval is from a lower limit of to an upper limit of (Round to two decimal places as needed.) 0 Set of dependent and...
please show your work step by step, don't put it in writing sometime i can't
read it, use excel its very important, show me the formula so i can
see how u do it
The following is a set of data from a sample of n = 11 items. Complete parts (a) through (c). o X Y 16 32 8 16 17 34 12 24 18 36 3 6 10 20 19 38 4 8 7 14 15 30 a....
a. Compute the sample covariance. 112.255 (Round to three decimal places as needed.) b. Compute the coefficient of correlation. r= 1.000 (Round to three decimal places as needed.) c. How strong is the relationship between X and Y? Explain. A. The variables X and Y have a perfect negative correlation because all points fall on a straight line with a negative slope. B. The variables X and Y have a perfect positive correlation because all points fall on a straight...
b)y^
Use the accompanying set of dependent and independent variables to complete parts a through c below. Click the icon to view the data set. a) Using technology, construct a multiple regression model with the given data. = (O + (x + ( x2 (Round to three decimal places as needed.) i Set of dependent and independent variables - Х 10 12 16 16 22 25 28 32 Гу X1 X2 4 10 17 20 16 10 13 10 6...
B)y^=?
Use the accompanying set of dependent and independent variables to complete parts a through c below. Click the icon to view the data set. a) Using technology, construct a multiple regression model with the given data. y = (( ) + ( x + ( ) x2 (Round to three decimal places as needed.) Х i - Set of dependent and independent variables 46 41 38 38 29 24 22 17 9 У X1 73 63 79 53 44...
Consider the 24 values shown in the table. Complete parts a through d below. 9 18 17 10 33 20 26 32 10 27 18 18 8 15 22 27 22 35 12 22 12 26 32 10 a. A simple random sample of 4 items is shown below. Calculate the sampling error for the sample. 12 32 27 26 The sampling error for the sample is O. (Round to two decimal places as needed.) b. If a random sample...
Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) X 10 9.15 8 8.15 13 8.74 9 8.78 11 9.26 14 8.11 6 6.14 4 3.09 12 9.13 7 7.26 5 4.73 y Click here to view a table of critical values for the correlation coefficient. 10 10- 10- 104 8- 8- 8- 8- . 6- 6- 6- 6- 4- 4- 4- 4- . 2- 2- 2- 2- х х 0 0- 0...
Use the accompanying set of dependent and independent variables to complete parts a through c below. Click the icon to view the data set. a) Using technology, construct a multiple regression model with the given data. ŷ= 0 + (x + 0x2 (Round to three decimal places as needed.) Set of dependent and independent variables 10 1 16 у X1 X2 12 5 16 5 16 8 11 22 6 1 26 10 9 30 17 7 350 21 11...
Score: 0 of 1 pt 6 of 10 (5 complete) 15.1.3-T Use the accompanying set of dependent and independent variables to complete parts a through d below. Click the icon to view the data set. a) Construct a 95% confidence interval for the dependent variable when xy = 9 and X2 = 11. The 95% confidence interval is from a lower limit of to an upper limit of (Round to two decimal places as needed.) 0 Set of dependent and...
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