The table below shows the numbers of new-vehicle sales (in thousands) for Company 1 and Company 2 for 11 years. Construct and interpret a 99% prediction interval for new-vehicle sales forCompany 2 when the number of new vehicles sold by Company 1 is 2705 thousand. The equation of the regression line is y = 1.208x+403.392.Company 1, xCompany 2, y4104494939994854363934414840472732824658311344962881409224803809190929191659200318562175Construct and interpret a 99% prediction interval for new-vehicle sales for Company 2 when the number of new vehicles sold by Company 1 is 2705 thousand. Select the correct choice below and fillin the answer boxes to complete your choice.(Round to the nearest cent as needed.)OA. We can be 99% confident that when the new-vehicle sales for Company 1 is 2705 thousand, the new-vehicle sales for Company 2 will be between and thousand.B. There is a 99% chance that the predicted new-vehicle sales for Company 2 is betweenandthousand, given that the new-vehicle sales for Company 1 is 2705thousand

Step 1.Calculate the Predicted Value for Company 2:* Using the regression equation provided (y =…

Answered: The table below shows the numbers of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The data below are the temperatures on randomly chosen days during the summer and the number of employee absences at a local company on those days. Temperature: Number of absences 72 3 85 7 91 10 90 10 88 8 98 15 75 4 100 15 80 5 (a) Find the least square regression line. Round slope and y-intercept nearest hundredth. (b) Predict the number of absences when temperature is 88. (c) Find the residual when temperature is 98. Analyze the result. (b) Test the claim, at the α = 0.05 level of significance, that a linear relation exists between the temperature and number of absences. Apply classical approach and p-value approach. (c) Find 95 %…
The number of initial public offerings of stock issued in a 10-year period and the total proceeds of these offerings (in millions) are shown in the table. The equation of the regression line is y = 46.360x + 18,657.31. Complete parts a and b 412 455 Issues, x. Proceeds, 17,955 27,527 43,371 30,734 66,292 65,063 22,264 11,783 31,116 27,537 685 476 483 384 54 75 194 170 (a) Find the coefficient of determination and interpret the result. (Round to three decimal places as needed.) How can the coefficient of determination be interpreted? The coefficient of determination is the fraction of the variation in proceeds that is unexplained and is due to other factors or sampling error. The remaining fraction of the variation is explained by the variation in issues. The coefficient of determination is the fraction of the variation proceeds that can be explained by the variation in issues. The remaining fraction of the variation is unexplained and is due to other factors or to sampling error. (b)…
The following table gives the data for the grades on the midterm exam and the grades on the final exam. Determine the equation of the regression line, yˆ=b0+b1xy^=b0+b1x. Round the slope and y-intercept to the nearest thousandth. Grades on Midterm and Final Exams Grades on Midterm 78 63 85 92 82 89 69 89 83 61 Grades on Final 77 75 88 92 86 86 80 85 77 63
The table below shows the amounts of crude oil (in thousands of barrels per day) produced by a country and the amounts of crude oil (in thousands of barrels per day) imported by a country, for the last 7 years. Construct and interpret a 98% prediction interval for the amount of oil imported by the country and the amount of oil produced by the country is 5,483 thousand barrels per day. The equation of the regression line is y = -1.194x + 16,234.906
The table below shows the average weekly wages (in dollars) for state government employees and federal government employees for 10 years. Construct and interpret a 98% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $878.The equation of the regression line is y=1.342x+55.816. Wages [state]- 712, 746, 786, 803, 841, 879, 918, 926, 954, 979 Wages [federal]- 1,024, 1,048, 1,098, 1,135, 1,195, 1,240, 1,270, 1,299, 1,340, 1,376 Construct and interpret a 98% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $878. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) PICK THE CORRECT ANSWER [A] We can be 98% confident that when the average weekly wages of state government employees is $878, the average weekly wages of…
The table below shows the average weekly wages (in dollars) for state government employees and federal government employees for 10 years. Construct and interpret a 99% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $852. The equation of the regression line is y = 1.558x- 122.509. Wages (state), x Wages (federal), y 717 759 792 817 837 885 903 931 933 952 1,018 1,044 1,112 1,140 1,185 1,245 1.279 1,298 1,332 1,404 Construct and interpret a 99% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $852. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) Se given a state average weekly O A. There is a 99% chance that the predicted average weekly wages of federal government employees is between $ and $ wage of $852. O B. We can be…
Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 612.
The table shows the numbers of new-vehicle sales (in thousands) in the United States for Company A and Company B for 10 years. The equation of the regression line is y = 0.991x + 1,222.81. Complete parts (a) and (b) below. New-vehicle sales (Company A), x New-vehicle sales (Company B), y 4,149 3,923 3,566 3,400 3,266 3,076 2,868 2,485 1,952 2,066 4,912 4,871 4,827 4,721 4,672 4,474 4,684 3,822 2,956 2,754 (a) Find the coefficient of determination and interpret the result. r² = r2 = 0.821 (Round to three decimal places as needed.) How can the coefficient of determination be interpreted? The coefficient of determination is the fraction of the variation in new-vehicle sales for Company B that can be 2 explained by the variation in new-vehicle sales for Company A and is represented by The remaining fraction of the variation, 1-2, is unexplained and is due to other factors or to sampling error. s (b) Find the standard error of estimates and interpret the result. Se O (Round to three decimal…
The table shows the amounts of crude oil (in thousands of barrels per day) produced by a certain country and the amounts of crude oil (in thousands of barrels per day) imported by the same country for seven years. The equation of the regression line is y=−1.326x+16,981.04. Complete parts (a) and (b) below. Produced,_x 5,789 5,679, 5,626, 5,407, 5,234, 5,138, 5,094 Imported,_y 9,309 9,130, 9,681, 10,090, 10,151, 10,152, 10,017 (a) Find the coefficient of determination and interpret the result. r2= (Round to three decimal places as needed.) (b) Find the standard error of estimate se and interpret the result. Se= (Round to three decimal places as needed.)
Using a sample of recent university graduates, you estimate a simple linear regression using initial annual salary as the dependent variable and the graduate's weighted average mark (WAM) as the explanatory variable. If the regression model has an estimated intercept of 3200 and an estimated slope coefficient of 550, what is the predicted starting salary of a student with a WAM of 64?
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A researcher calculates a regression equation to predict an insurance premium based on a person's age. One person in the sample was observed to have a premium of $500 at 20 years old, but the predicted value was $400. VWhat is the value of the residual for this person? Next Page Page 10 of 14

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