Question

In: Statistics and Probability

The data for a sample of 100 gave the regression line equation for age and blood...

The data for a sample of 100 gave the regression line equation for age and blood pressure is Ÿ = 100 + 0.96X, and the standard error is 5. The 95% confidence interval of the prediction of the blood pressure of a person who is 43 years old showed that the upper confidence limit is :

Select one:

A. 155.08

B. 159.08

C. 149.09

D. 151.08

Solutions

Expert Solution

Solution :

The 95% confidence interval for a predicted value is given as follows :

Where, is predicted value of y, SE is standard error and t(0.05/2, n - 2) is critical t value.

The regression equation is,

The predicted value of y at x = 43 is given by,

Predicted value of the blood pressure of a 43 years old person is 141.28.

We have, SE = 5 and n = 100

Using t-table we get, t(0.05/2, 100 - 2) = 1.9845

Hence, 95% confidence interval for the predicted value of the blood pressure of a person who is 43 years old is,

The upper confidence limit is 151.08.

Option (D) is correct.


Related Solutions

A multiple regression equation of quality of life scale (0-100, 100 is best) associated with Age...
A multiple regression equation of quality of life scale (0-100, 100 is best) associated with Age (year), Income (unit US $), CD4 count from 695 Africa HIV infected women is The quality of life scale = 32.121 + 0.060 * Income + 0.017 * CD4 count - 0.045 * Age. Based on this regression equation, please answer following questions 15 to 29. ____________________________________________________________________ Given an Africa HIV infected woman with an income $200, CD4 250 and age 40, the predicted...
Consider the following data:   and   What is the sample regression equation?
Consider the following data:   and   What is the sample regression equation?
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height : 772, 628, 518, 508, 496, 483, y:...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. Height comma x 762 621 515 508 491 480...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. Height comma xHeight, x 766766 620620 520520 508508 494494...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. font size decreased by 1 font size increased by...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. font size decreased by 1 font size increased by...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. font size decreased by 1 font size increased by 1...
Use the given data to find the equation of the regression line. Examine the scatterplot and...
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 44 1212 99 77 33 1111 1010 88 55 1313 66   y 3.643.64 8.448.44 9.309.30 8.108.10 1.441.44 9.089.08 9.369.36 8.888.88 5.485.48 7.447.44 6.966.96
Use the given data to find the equation of the regression line. Examine the scatterplot and...
Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x   y 9   7.7 7   6.58 13   13.22 10   6.93 12   7.56 14   9.01 7   6.28 4   5.18 11   8.46 8   6.68 5   5.48
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT