An accounting firm, in an effort to explain variation in client profitability, collected the data below. Complete parts a through e below. E Click the icon to view the client data, a. Incorporate the client type into a regression analysis using dummy variables. Describe the resulting multiple regression estimate. Let x, represent the hours spent working with the client, let x, be the dummy variable for service clients, and let x, be the dummy variable for governmental clients. Price against Rooms and Neighborhobd (Round to one decimal place as needed.) Profitability Hours 2307 Client Type 44 4150 52 2 229 27 1199 59 1409 27 2 507 23 3 - 690 32 3 3468 49 1 2445 49 1991 29 201 36 3 Client Type: 1, if manufacturing 2, if service 3, if governmental Print Done

An accounting firm, in an effort to explain variation in client profitability, collected the data below. Complete parts a through e below. E Click the icon to view the client data, a. Incorporate the client type into a regression analysis using dummy variables. Describe the resulting multiple regression estimate. Let x, represent the hours spent working with the client, let x, be the dummy variable for service clients, and let x, be the dummy variable for governmental clients. Price against Rooms and Neighborhobd (Round to one decimal place as needed.) Profitability Hours 2307 Client Type 44 4150 52 2 229 27 1199 59 1409 27 2 507 23 3 - 690 32 3 3468 49 1 2445 49 1991 29 201 36 3 Client Type: 1, if manufacturing 2, if service 3, if governmental Print Done

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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$339,380 $41,768 A national homebuilder builds single-family homes and condominium-style townhouses. The accompanying dataset provides information on the selling price, lot cost, and type of home for closings during one month. Complete parts a through c. E Click the icon to view the house sales data a. Develop a multiple regression model for sales price as a function of lot cost and type of home without any interaction term. Create a dummy variable named "Townhouse", where it is equal to 1 when Type = "Townhouse" and 0 otherwise. Determine the coefficients of the regression equation. Sales Price = 108726 + (3.68 ) • Lot Cost + ( - 75063 )• Townhouse (Round the constant and coefficient of Townhouse to the nearest integer as needed. Round all other values to two decimal places as needed.) b. Determine if an interaction exists between lot cost and type of home and find the best model. Use a = 0.1 as the level of significance. First determine whether an interaction exists. Select the…
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Use the given data to find the scatter plot, equation of the regression line, and prediction. 4) Managers rate employees according to job performance and attitude. The results for several randomly selected employees are given below. Performance 59 63 65 69 58 77 76 | 69 70 64 Attitude 72 67 78 82 75 87 92 83 87 78 What function do you use to see the scatterplot on the calculator. Scatterplot from the calculator:
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In multiple regression, when all independent variables are considered but the order in which they are added to the model is determined by the amount it contributes to the dependent variable, it is called: a.Two step b.Stepwise c.Simultaneous d.Backward step
One of the biggest changes in higher education in recent years has been the growth of online universities. The Online Education Database is an independent organization whose mission is to build a comprehensive list of the top accredited online colleges. The following table shows the retention rate (%) and the graduation rate (%) for 29 online colleges.a). Use Excel Data Analysis Tool – Regression to get the relationship between the two variables;b). Create a scatter diagram for the two variables and display regression equation and R square on chart, then explain the relationship between the variables;c). Did the estimated regression equation provide a good fit?d). Suppose you were the president of South University. After reviewing the results, would you be able to use the regression result for forecasting. College RR(%) GR(%) Western International University 7 25 South University 51 25 University of Phoenix 4 28 American InterContinental University 29 32 Franklin…
A multiple regression analysis has more than onea. Fixed costsb. Dependent variablec. independent variabled. both fixed costs and dependent variable
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The managing director of a consulting group has the accompanying monthly data on total overhead costs and professional labor hours to bill to clients. Complete parts a through o. Click the icon to view the monthly data. a. Develop a simple linear regression model between billable hours and overhead costs. Overhead Costs OxBillable Hours (Round the constant to one decimal place as needed. Round the coefficient to four decimal places as needed. Do not include the $ symbol in your answers.) Monthly Overhead Costs and Billable Hours Data Overhead Costs $385,000 Billable Hours 3,000 $425,000 4,000 $445.000 5,000 $497,000 6,000 $570,000 7,000 $590,000 8,000
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The correct answer is option C but I do not know how to find the number that go inside it.