x 2 6 1 3 3 y 5 10 4 8 6 Assuming that the regression...
| x | 2 | 6 | 1 | 3 | 3 | |||
| y | 5 | 10 | 4 | 8 | 6 |
Assuming that the regression equation is y = 2.957 + 1.214x and that the SSE = 2.5571, test to determine if the slope is not equal to zero using alpha = 0.05
a) Test Statistic T = ______ (round to two decimal places)
b) Critical value(s) +/- tx/2 = _______, _______ (round to 3 decimal places)
Homework Answers
14.5.32 x| 2 4 1 3 2 Assuming that the regression equation is y = 0.615+2.077x...
14.5.32 x| 2 4 1 3 2 Assuming that the regression equation is y = 0.615+2.077x and that the SSE . 0.7692, test to determine if the slope is not equal to zero using α=0.05.
Consider the following set of ordered pairs. x 2 7 1 4 30 y 6 9...
Consider the following set of ordered pairs. x 2 7 1 4 30 y 6 9 5 8 6 Assuming that the regression equation is y = 4.491 +0.679x and that the SSE = 1.0189, construct a 95% confidence interval for the slope. Click here to see the t-distribution table, page 1 Click here to see the t-distribution table, page 2 Construct a 95% confidence interval for the slope. LCL = and UCL = (Round to three decimal places as...
The data shown below for the dependent variable, y, and the independent variable, x, have been...
The data shown below for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. X 10 15 11 19 18 17 5 17 18 y 9070 30 8020 30 5060 40 40 a. Develop a simple linear regression equation for these data. b. Calculate the sum of squared residuals, the total sum of squares, and the coefficient of determination c. Calculate the standard error of the estimate. d. Calculate the standard error for...
Given are five observations for two variables, r and y. 3 4 5 1 2 7 6 11 14 4 The estimated regression equation is...
Given are five observations for two variables, r and y. 3 4 5 1 2 7 6 11 14 4 The estimated regression equation is y = 1.2 + 2.4r Compute the mean square error using the following equation (to 3 decimals). a. SSE s2=MSE n- 2 decimals). b. Compute the standard error of the estimate using the following equation (to SSE VMSE Vn-2 SE c. Compute the estimated standard deviation bi using the following equation (to 3 decimals). Sp...
Consider the set of ordered pairs shown below. Assuming that the regression equation is y=3.513+0.429x and...
Consider the set of ordered pairs shown below. Assuming that the regression equation is y=3.513+0.429x and the SSE=18.229, construct a 95% prediction interval for x=2 x 2 6 1 3 3 y 5 7 5 6 1 Click the icon to view a portion of the student's t-distribution table. Calculate the upper and lower limits of the prediction interval. UPL= LPL= (Round to three decimal places as needed.)
The data shown below for the dependent variable, y, and the independent variable, x, have been ...
The data shown below for the dependent variable, y, and the
independent variable, x, have been collected using simple random
sampling.
x y
11 100
13 80
15 80
12 90
20 60
17 60
15 70
13 90
15 90
17 80
a. Complete the linear regression equation below Round to one decimal place as needed.) b. Calculate the sum of the squared residuals. SSE-L (Round to the nearest whole number as needed) What is the total sum of...
Given are five observations for two variables, 7 and y. 2 1 3 4 S M...
Given are five observations for two variables, 7 and y. 2 1 3 4 S M 3 7 5 11 14 The estimated regression equation is y = 0.2 +2.67 a. Compute the mean square arror using the following equation to 3 decimals), - MSE SSE - 2 b. Compute the standard error of the estimate using the following equation (to 3 decimals). 5 VMSE SSE N-2 c. Compute the estimated standard deviation by using the following equation (to 3...
onsider the set of ordered pairs shown below. Assuming that the regression equation is y=0.400 +...
onsider the set of ordered pairs shown below. Assuming that the regression equation is y=0.400 + 1,000x and the SSE = 32, onstruct a 95% prediction interval for x = 5. X 13 6 3 5 3 o Y 14 6 4 6 2 Click the icon to view a portion of the student's t.distribution table. Calculate the upper and lower limits of the prediction interval UPL= LPLE (Round to three decimal places as needed.)
GAGE MINDTAP 6 Homework Video eBook Given are five observations for two variables, a and y. 5 1 2 3 4 12 14 3 6 Th...
GAGE MINDTAP 6 Homework Video eBook Given are five observations for two variables, a and y. 5 1 2 3 4 12 14 3 6 The estimated regression equation is ý= 0.8+ 2.6z - using the following equation (to 3 decimals). a. Compute the mean square error SSE = MSE= n-2 b. Compute the standard error of the estimate using the following equation (to 3 decimals). SSE s=VMSE n-2 c. Compute the estimated standard deviation b using the following equation...
6) Compute the least-squares regression line for predicting y from x given the following summary statistics....
6) Compute the least-squares regression line for predicting y from x given the following summary statistics. Round the slope and y -intercept to at least four decimal places. = x 8.8 = s x 1.2 = y 30.4 = s y 16 = r 0.60 Send data to Excel Regression line equation: = y 7)Compute the least-squares regression equation for the given data set. Use a TI- 84 calculator. Round the slope and y -intercept to at least four decimal...
14.5.32 x| 2 4 1 3 2 Assuming that the regression equation is y = 0.615+2.077x and that the SSE . 0.7692, test to determine if the slope is not equal to zero using α=0.05.
Consider the following set of ordered pairs. x 2 7 1 4 30 y 6 9 5 8 6 Assuming that the regression equation is y = 4.491 +0.679x and that the SSE = 1.0189, construct a 95% confidence interval for the slope. Click here to see the t-distribution table, page 1 Click here to see the t-distribution table, page 2 Construct a 95% confidence interval for the slope. LCL = and UCL = (Round to three decimal places as...
The data shown below for the dependent variable, y, and the independent variable, x, have been collected using simple random sampling. X 10 15 11 19 18 17 5 17 18 y 9070 30 8020 30 5060 40 40 a. Develop a simple linear regression equation for these data. b. Calculate the sum of squared residuals, the total sum of squares, and the coefficient of determination c. Calculate the standard error of the estimate. d. Calculate the standard error for...
Given are five observations for two variables, r and y. 3 4 5 1 2 7 6 11 14 4 The estimated regression equation is y = 1.2 + 2.4r Compute the mean square error using the following equation (to 3 decimals). a. SSE s2=MSE n- 2 decimals). b. Compute the standard error of the estimate using the following equation (to SSE VMSE Vn-2 SE c. Compute the estimated standard deviation bi using the following equation (to 3 decimals). Sp...
The data shown below for the dependent variable, y, and the
independent variable, x, have been collected using simple random
sampling.
x y
11 100
13 80
15 80
12 90
20 60
17 60
15 70
13 90
15 90
17 80
a. Complete the linear regression equation below Round to one decimal place as needed.) b. Calculate the sum of the squared residuals. SSE-L (Round to the nearest whole number as needed) What is the total sum of...
Given are five observations for two variables, 7 and y. 2 1 3 4 S M 3 7 5 11 14 The estimated regression equation is y = 0.2 +2.67 a. Compute the mean square arror using the following equation to 3 decimals), - MSE SSE - 2 b. Compute the standard error of the estimate using the following equation (to 3 decimals). 5 VMSE SSE N-2 c. Compute the estimated standard deviation by using the following equation (to 3...
onsider the set of ordered pairs shown below. Assuming that the regression equation is y=0.400 + 1,000x and the SSE = 32, onstruct a 95% prediction interval for x = 5. X 13 6 3 5 3 o Y 14 6 4 6 2 Click the icon to view a portion of the student's t.distribution table. Calculate the upper and lower limits of the prediction interval UPL= LPLE (Round to three decimal places as needed.)
GAGE MINDTAP 6 Homework Video eBook Given are five observations for two variables, a and y. 5 1 2 3 4 12 14 3 6 The estimated regression equation is ý= 0.8+ 2.6z - using the following equation (to 3 decimals). a. Compute the mean square error SSE = MSE= n-2 b. Compute the standard error of the estimate using the following equation (to 3 decimals). SSE s=VMSE n-2 c. Compute the estimated standard deviation b using the following equation...
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