The following sample observations were randomly selected:
1 | 2 | 3 | 4 | 5 | |
X: | 17 | 4 | 2 | 7 | 6 |
Y: | 13 | 25 | 6 | 15 | 15 |
a. Determine the regression equation. (Negative answer should be indicated by a minus sign. Do not round intermediate calculations. Round the final answers to 4 decimal places.)
b = a =
Y' = + X
b. Determine the value of Y' when
X is 13. (Do not round intermediate calculations.
Round the final answer to 4 decimal places.)
The following sample observations were randomly selected: 1 2 3 4 5 X: 17 4 2...
The following sample observations were randomly selected. (Round intermediate calculations and final answers to 2 decimal places.) 4 6 4 &Click here for the Excel Data File a. The regression equation is y- When X is 5 this gives y =
The following sample observations were randomly selected. (Do not round the intermediate values. Negative amount should be indicated by a minus sign. Round your answers to 3 decimal places.) Y: a. Determine the 0.9 confidence interval for the mean predicted when x- 4 b. Determine the 0.9 prediction interval for an individual predicted whenx4
The following sample observations were randomly selected. (Round intermediate calculations and final answers to 2 decimal places.) X: y : 3 3 5 6 3 5 6 7 7 7 Click here for the Excel Data File + a. The regression equation is ý = b. When x is 6 this gives y =
The following sample observations were randomly selected: (Round the final answers to 4 decimal places.) X: 16 14 9 17 12 11 20 18 Y: 14 21 1 13 11 16 14 15 a. Determine the 95% confidence interval for the mean predicted when X = 6. b. Determine the 95% prediction interval for an individual predicted when X = 6.
The following sample observations were randomly selected. (Round your answers to 2 decimal places.) X: 4 5 3 6 10 Y: 10.8 12.6 8 14.4 19.6 a. The regression equation is Yˆ Y^ = + X b. When X is 7 this gives Yˆ Y^ =
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.)
Exercise 2: The following sample observations were randomly selected. X Y 5 13 3 15 6 7 3 12 4 13 4 11 6 9 8 5 a. Insert the trendline equation. b. Determine the coefficient of correlation and the coefficient of determination.
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
The following regression equation was computed from a sample of 25 observations: Y' = 26-6x SSE was found to be 130, and SS total 420. (Round the MS-values to 3 decimal places.) di Source Regression Error 51.31 Total a. Determine the standard error of estimate. (Round the final answer to 4 decimal places.) se = 0 5. Determine the coefficient of determination. (Round the final answer to 2 decimal places.) 2 = . Determine the correlation coefficient. (Caution: Watch the...
In a simple linear regression, the following information is given: x−x− = −39; y− y− = 40; Σ(xi−x− )(yi− y−)= −840;Σ(xi−x− )(yi− y−)= −840; Σ(xi− x−)2= 718Σ(xi− x−)2= 718 a. Calculate b1. (Negative value should be indicated by a minus sign. Round your answer to 2 decimal places.) b1 b. Calculate b0. (Round intermediate calculations to 4 decimal places and final answer to 2 decimal places.) b0 c-1. What is the sample regression equation? (Negative value should be...