U ni on Ap ti t ud e e an c Pe rf or m Worker A furniture manufacturer is studying the job performance ra members are coded 0 and union member Abbott Anderson 58 53 5 4 0 0 Bender Bush 33 97 10 10 0 0 Center 36 2 0 a. Develop a multiple regression equation using job performan variable and the aptitude test scores and union membership b. Coombs Eckstine 83 67 7 6 0 0 Gloss Herd 84 98 9 9 0 1 Householder Iori Lindstrom Mason Pierse Rohde 45 97 90 96 66 82 2 8 6 7 3 6 1 1 1 1 1 1 Estimate the Performance score if aptitude is a 8 and non un he job performance ratings of 15 employees. Nonunion 0 and union members are coded 1. using job performance score a the dependent nd union membership as independent variables. ude is a 8 and non union member. A paint company sales force was studied and they are trying to determi relationship between the number of sales calls made and the miles drive sales rep. They are also trying to determine if the sales reps who drive t miles and make the most calls earn the most commissions? Commission Calls Driven s ($000) 22 13 a. Develop a multiple regression equation using Commission as the 139 2371 dependent variable 132 2226 33 38 144 2731 142 3351 b. 23 47 142 2289 142 3449 29 138 3114 38 139 3342 41 32 20 144 2842 134 2625 135 2121 13 47 38 44 29 38 37 14 34 25 27 25 43 34 137 146 146 144 147 144 149 131 144 132 132 127 154 147 2219 3463 3290 3103 2122 2791 3209 2287 2848 2690 2933 2671 2988 2829 Is there a relationship between the variables? c. If there is a relationship between the variables, estimate the commission if the sales rep makes 150 calls and drives 2500 miles. d they are trying to determine the s made and the miles driven by the f the sales reps who drive the most the most commissions? Commission as the bles, estimate the nd drives 2500 miles. Price Bidders Age 3470 3500 3700 10 8 7 67 56 73 3860 4 71 3920 12 99 3900 10 87 3830 11 78 3940 8 83 3880 13 90 3940 13 98 4200 0 91 4060 7 93 4200 4020 4190 4130 4130 4370 4450 4390 4380 4540 4660 4710 4880 2 6 4 3 9 5 3 8 8 4 5 3 1 97 79 83 71 89 103 106 93 88 96 94 88 84 An art collector is studying the relationship between the selling price o of bidders and the age of the painting a. Develop a multiple regression equation. b. Is there a relationship between the selling price of a painting and the age? c. If there is a relationship between the variables estimate the Selling Pri and a painting that is 100 years old. etween the selling price of a painting based on the number nd the age of the painting. rice of a painting and the number of bidders and age? s estimate the Selling Price based on 20 bidders Ed uc at io n Se n io r Si z e e In co m t Sq rF Fa m ily A B C D 2240 60.8 2380 68.4 3640 104.5 3360 89.3 2 2 3 4 0 1 0 1 4 6 7 0 E F 3080 2940 4 3 0 1 2 10 72.2 114 G H 4480 125.4 2520 83.6 6 3 0 0 6 8 I J 4200 2800 5 3 0 0 2 6 133 95 Is there a relationship between the size of home client will (in square feet) and family size, whether there is a senior a parent living with the family (1 for yes, 0 for no), an the tot of education beyond high school for the husband and wife. a. Develop a regression equation for the variables; b. If there is a relationship estimate the size of a home where the family income is 90, family size of 3, 1 for senior parent and education of 5 years post high school. he size of home client will purchase whether there is a senior adult or yes, 0 for no), an the total years for the husband and wife. quation for the variables; p estimate the size of a income is 90, family size t and education of 5 years