Probabilities under the Student's t-distribution curve1 Tail2 TailConf Levd.f.12910121315910111213150,200 0.100 0.0500.200 0.1000.4000.6000.800 0.90016171819202122232425261.376 3.078 6.3141.0611.8862.9200,9781.6382.3530.9411.5332.1320.9201.4762.0150.9061,4401.9430,8961.4151.8950.8891.397 1.8600.8831.383 1.8330.8791.3721.8120.8761.3631.7960.8731.356 1.7820.870 1.350 1.7710.866 1.3411.7530.0250.0100.0500.0200.950 0.9800.889 1.3971.8600.883 1.3830.879 1.3721.8331.8120.876 1.363 1.7960.8731.356 1.7820.8701.3501.7710.8661.3411.7530.8651.337 1.7460.8631.333 1.7400.8621.330 1.7340.8611.3281.7290.860 1.3251.7250.859 1.3231.7210.8581.3211.7170.8581.3191.7140.857 1.318 1.7110.8561.3161.7080.8561.3151.70612.70631.8214.303 6.9653.182 4.5412.776 3.7472.571 3.3652.447 3.1432.3652.9982.3062.8962.2622.8212.228 2.7642.2012.7182.179 2.6812.160 2.6502.131 2.602Probabilities under the Student's t-distribution curve2.306 2.8962.262 2.8212.2282.7642.201 2.7182.179 2.6812.160 2.6502.131 2.6022.120 2.5832.110 2.5672.101 2.5522.093 2.5392.0862.5282.080 2.5182.5082.5002.4922.4852.4792.0742.0692.0642.0602.0560.0050.0100.99063.6579.9255.8414.6044.0323.7073.4993.3553.2503.1693.1063.0553.0122.9473.3553.2503.1693.1063.0553.0122.9472.9212.8982.8782.8612.8452.8312.8192.8072.7972.7872.779 Consider the set of ordered pairs shown below. Assuming that the regression equation is y=2.063 +0.531x and theSSE=4.813, construct a 90% prediction interval for x = 5.Xy65024644432 D3Click the icon to view a portion of the Student's t-distribution table.GOLCalculate the upper and lower limits of the prediction interval.UPL =LPL =(Round to three decimal places as needed.)M

Given: The regression equation is: y^=2.063+0.531x SSE=4.813 x=5

Answered: Consider the set of ordered pairs shown…

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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Identify the correct statement concerning, r the correlation coefficie between X and Y and the linear regression, Y = aX+b. A. Both can be used to show cause and effect. B. Both quantify the strength of relationship between X and Y. C. X and Y are interchangeable in both relationships. D. Both can be used to make predictions.
A major brokerage company has an office in Miami, Florida. The manager of the office is evaluated based on the number of new clients generated each quarter. Data were collected that show the number of new customers added during each quarter between 2015 and 2018. A multiple regression model was developed with the number of new customers as the dependent and the following four independent variables: Period (1, …, 16): A variable that measures the trend; Q1 = 1 for first quarter, Q1 = 0 otherwise; Q2 = 1 for second quarter, Q2 = 0 otherwise; Q3 = 1 for third quarter, Q3 = 0 otherwise. Questions: 1. Explain each of the four slopes (Period, Q1, Q2, Q3). 2. How many new customers would you expect in the second quarter of the following year (2019)?
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 $818. The equation of the regression line is y = 1.451x - 40.698. Wages (state), x Wages (federal), y 713 760 785 805 851 870 921 926 947 985 1,002 1,045 1,091 1,145 1,185 1,239 1,281 1,307 1,320 1,400 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 $818. 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 99% confident that when the average weekly wages of state government employees is $818, the average weekly wages of federal government employees will be between $ and…
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. 405 458 690 482 492 389 53 53 156 Proceeds, y 17,788 28,282 43,709 30,030 36,947 36,625 22,282 10,561 31,747 29,048 Issues, x 190 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.) 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 $ and $ Ir
A vocational counselor uses the number of days without employment to predict her clients' feelings of self efficacy, measured on a scale of 1 to 5, with higher numbers meaning that clients feel more secure in their job related abilities. The slope of the regression line is –1.02. Which statement is the best interpretation for this finding? a. For every 1-point increase in self-efficacy, there is an associated decrease in the number of days of unemployment. b. For every additional day of unemployment, there is an associated decrease in self-efficacy of 1.02 points. c. The least number of days a person can be unemployed and still feel self-efficacious is 3.98 points d. The decrease in self-efficacy of 1.02 points is caused by each additional day of unemployment
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…
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
The money raised and spent (both in millions of dollars) by all congressional campaigns for 8 recent 2-year periods are shown in the table. The equation of the regression line is y = 0.942x +27.609. Find the standard error of estimate s, and interpret the result. 793.9 1042.3 957.7 1203.3 450.7 673.7 745.1 778.6 Money raised, x Money spent, y 734.8 1024.2 929.1 1160.6 448.6 697.9 735.7 751.2 Find the standard error of estimate s, and interpret the result. (Round to three decimal places as needed.) How can the standard error of estimate be interpreted? O A. The standard error of estimate of the money raised for a specific amount of money spent is about s, million dollars. O B. The standard error of estimate of the money spent for a specific amount of money raised is about s, million dollars.
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When using population size as the explanatory variable, x, and broadband subscribers as the response variable, y, for data on the number of individuals in a country with broadband access and the population size for 36 nations, the regression equation is y = 4,975,098 +0.0342x. a. Interpret the slope of the regression equation. Is the association positive or negative? Explain what this means. b. Predict broadband subscribers at the (i) population size 7,014,655, (ii) population size 1,155,173,053. c. For one nation, y = 71,110,000, and x = 322,413,902. Find the predicted broadband use and the residual for this nation. Interpret the value of this residual. a. Since the association is positive, the slope means that as the (Type an integer or a decimal.) b. (i) The predicted broadband subscribers for population size 7,014,655 is (Round to the nearest whole number as needed.) population size increases by 1 unit, the number of broadband subscribers tends to increase by 0.0342.
Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 658.
Construct and interpret a 95% prediction interval for the proceeds when the number of issues is 602.

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