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. Construct andinterpret a 95% prediction interval for the proceeds when the number of issues is 640. The equation of the regression line is y=34.756x + 16,820.956.Issues, xProceeds, y4234686904944913947462186173 e17,882 29,841 44,824 31,826 36,848 35,868 20,763 10,922 30,955 28,561Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 640.Select the correct choice below and fill in the answer boxes to complete your choice.(Round to the nearest million dollars as needed. Type your answer in standard form where "3.12 million" means 3,120,000.)O A. We can be 95% confident that when there are 640 issues, the proceeds will be between $and $O B. There is a 95% chance that the predicted proceeds given 640 issues is between $and $

The regression equation is given as : y^=34.756x+16820.956 The prediction interval for α=0.05,…

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. Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 640. The equation of the regression line is y = 34.756x + 16,820.956. 491 394 17,882 29,841 44,824 31,826 36,848 35,868 20,763 10,922| 30,955 28,561 Issues, x Proceeds, y 423 468 690| 494 74 62| 186 173 O Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 640. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest million dollars as needed. Type your answer in standard form where "3.12 million" means 3,120,000.) O A. We can be 95% confident that when there are 640 issues, the proceeds will be between S and s O B. There is a 95% chance that the predicted proceeds given 640 issues is between S and S

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. Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 640. The equation of the regression line is y = 34.756x + 16,820.956. 491 394 17,882 29,841 44,824 31,826 36,848 35,868 20,763 10,922| 30,955 28,561 Issues, x Proceeds, y 423 468 690| 494 74 62| 186 173 O Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 640. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest million dollars as needed. Type your answer in standard form where "3.12 million" means 3,120,000.) O A. We can be 95% confident that when there are 640 issues, the proceeds will be between S and s O B. There is a 95% chance that the predicted proceeds given 640 issues is between S and S

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Use the Financial database from “Excel Databases.xls” on Blackboard. Use Total Revenues, Total Assets, Return on Equity, Earnings Per Share, Average Yield, and Dividends Per Share to predict the average P/E ratio for a company. Use Excel to develop the multiple linear regression model. Assume a 5% level of significance. Which independent variable is the strongest predictor of the average P/E ratio of a company? A. Total Revenues B. Average Yield C. Earnings Per Share D.Return on Equity E. Total Assets F.Dividends Per Share Company Type Total Revenues Total Assets Return on Equity Earnings per Share Average Yield Dividends per Share Average P/E Ratio AFLAC 6 7251 29454 17.1 2.08 0.9 0.22 11.5 Albertson's 4 14690 5219 21.4 2.08 1.6 0.63 19 Allstate 6 20106 80918 20.1 3.56 1 0.36 10.6 Amerada Hess 7 8340 7935 0.2 0.08 1.1 0.6 698.3 American General 6 3362 80620 7.1 2.19 3 1.4 21.2 American Stores 4 19139 8536 12.2 1.01 1.4 0.34 23.5 Amoco 7 36287…
3. Describe the problem that outliers present for a regression analysis and outline what you could do to resolve this problem.
Illustrate the importance of using regression models.
a. Estimate the regression line and also write the prediction equation. y = 83.4578-5.8795 x y = 5.8795 + 83.4578 x ŷ ŷ= = -5.8795 + 83.4578 x = 83.4578 + 5.8795 x
Use the estimate yest=3.3x2 - 9.4x - 0.1 to calculate a set of residuals, using a formula or a calculator. Explain your steps, then create a residual plot using this new model and assess its validity
Explain what a residual is and how this relates to the best-fit regression model.
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. Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 563. The equation of the regression line is y = 31.554x + 18,074.624. Issues, x 405 458 690 482 492 389 53 53 190 156 Proceeds, y 17,788 28,282 43,709 30,030 36,947 36,625 22,282 10,561 31,747 29,048 Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 563) Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest million dollars as needed. Type your answer in standard form where."3.12 million" means 3,120,000.) 1 O A. We can be 95% confident that when there are 563 issues, the proceeds will be between $ OB. There is a 95% chance that the predicted proceeds given 563 issues is between $ and S and $
A financial website reported the beta value for a certain company was 0.86. Betas for individual stocks are determined by simple linear regression. The dependent variable is the total return for the stock, and the independent variable is the total return for the stock market, such as the return of a market index. The slope of this regression equation is referred to as the stock's beta. Many financial analysts prefer to measure the risk of a stock by computing the stock's beta value. Suppose the following data show the monthly percentage returns for the market index and the company for a recent year. Month Market Index% Return Company% Return August -3 4 September 8 7 October 0 1 November -2 1 December -5 0 January 0 0 February 7 7 March 0 -2 April 2 0 May -5 -1 a. Develop the least squares estimated regression equation. (Let x = Market Index % Return (as a %), and let y = Company % Return (as a %). Round your numerical values to four decimal places.)
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 90% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $825. The equation of the regression line is y = 1.597x- 169.203. Wages (state), x Wages (federal), y 742 775 783 802 842 890 912 939 949 954 1,002 1,039 1,097 1,145 1,199 1,242 1,271 1,299 1,335 1,398 Construct and interpret a 90% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $825. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) O A. There is a 90% chance that the predicted average weekly wages of federal government employees is between S and S given a state average weekly wage of $825. O B. We can be 90%…
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 95% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $895. The equation of the regression line is y = 1.454x- 36.984. Wages (state), x Wages (federal), y 712 778 789 801 843 878 927 937 939 958 1,014 1,054 1,116 1,146 1,191 1,248 1,270 1,302 1,335 1,401 Construct and interpret a 95% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $895. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) O A. We can be 95% confident that when the average weekly wages of state government employees is $895, the average weekly wages of federal government employees will be between $ and…
Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 658.
State the Interpretation of Regression Coefficients?