A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ý = 82 + 4x.Years ofExperienceAnnual SalesSalesperson($1,000s)8023.9710244107103101101198.101286.111271013136(a) Compute the residualsYears ofAnnual SalesResiduaisExperience(S1,000s)974.10210710310110119101261112713136Construct a residual plot. 1616161212128--4'-4-4-8-12-12-16-1610121410 12Years of Experience14101214Years of ExperienceYears of Experience16124.-4-84-12-166 8 10 12 14Years of Experience(b) Do the assumptions about the errer terms seem reasonable in light of the residual plot?The plat suggests a generally horzontal band of residual points indicating that the error term assumptions apear reasonableThe plot suggests curvature in the residuals indicating that the errer tem asumptions appear reasonatleThe plot seggests a funnel patterm in the residuals indicating that the error term assumptions appeer reasonableThe plot suggests a generaly horizontal bend of residual points indicating that the error term assumptions do not appear reasonableThe plot suggests a funnel pattern in the residuals indicating that the enror term assumgtions do not agpear reasonabie.spenppagSenpsay

Solution: The estimated regression equation is y^= 82+4x

Answered: Years of Experience Salesperson Annual…

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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A magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for food, decor, service, and the cost per person. Develop a regression model to predict the cost per person, based on a variable that represents the sum of the three ratings. The magazine has compiled the accompanying table of this summated ratings variable and the cost per person for 25 restaurants in a major city. Complete parts (a) through (e) below. E Click the icon to view the table of summated ratings and cost per person. a. Construct a scatter plot. Choose the correct graph below. O A. OB. OC. O D. ACost ($) 90- ACost ($) 90- ACost ($) 90- ACost ($) 90- 0- 0- 0- 0- 90 90 Rating Rating Rating Rating
Online Trailer Views (millions) Opening Weekend Box Office Gross ($millions) Online Trailer Views (millions) Opening Weekend Box Office Gross ($millions) 58.485 31.963 3.169 1.611 10.539 2.563 32.824 63.843 7.290 6.615 4.267 13.376 11.117 20.214 42.382 86.251 83.747 102.996 4.989 4.690 32.036 60.081 6.630 33.377 21.858 19.098 0.942 3.705 6.362 9.752 2.258 1.513 1.984 9.872 11.327 18.470 47.499 35.661 8.966 12.202 5.433 21.575 15.177 4.357 27.396 18.002 13.714 30.436 2.141 2.859 31.231 53.003 57.337 150.198 52.612 46.607 7.918 11.225 16.235 13.003 8.372 6.775 6.884 3.776 9.117 0.427 11.698 18.223 1.888 5.706 2.827 3.471 2.883 3.998 23.075…
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End of month S&P 500 End of month S&P 500 End of month S&P 500 End of month S&P 500 September-77 96.53 April-80 106.29 November-82 138.53 July-85 191.85 October-77 92.34 May-80 111.24 December-82 140.64 August-85 190.92 November-77 94.83 June-80 114.24 January-83 145.30 September-85 188.63 December-77 95.10 July-80 121.67 February-83 148.06 October-85 182.08 January-78 89.25 August-80 122.38 March-83 152.96 November-85 189.82 February-78 87.04 September-80 125.46 April-83 164.43 December-85 202.17 March-78 89.21 October-80 127.47 May-83 162.39 January-86 211.28 April-78 96.83 November-80 140.52 June-83 167.64 February-86 226.92 May-78 97.24 December-80 135.76 July-83 162.56 March-86 238.90 June-78 95.53 January-81 129.55 August-83 164.40 April-86 235.52 July-78 100.68 February-81 131.27 September-83 166.07 May-86 247.35 August-78 103.29 March-81 136.00 October-83 163.55 June-86 250.84 September-78 102.54 April-81 132.81 November-83 166.40…
Blocking refers to the idea that the variability in a variable can be reduced by segmenting the data by some other variable. The data in the accompanying table represent the recumbent length (in centimeters) of a sample of 10 males and 10 females who are 40 months of age. Complete parts (a) through (d). Click the icon to view the data table. (a) Determine the standard deviation of recumbent length for all 20 observations. cm (Round to two decimal places as needed.) OPE 2

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Years of Experience Salesperson Annual Sales ($1,000s) 80 2. 97 102 4 107 6. 103 101 10 119 10 128 9. 11 127 10 13 136