Davis Stores sells clothing in 15 stores located around the southwestern United States. The managers at Davis areconsidering expanding by opening new stores and are interested in estimating costs in potential new locations. Theybelieve that costs are driven in large part by store volume measured by revenue. The following data were collected fromlast year's operations (revenues and costs in thousands of dollars).Store Revenues101$4, 1501022,2771035,8131044,0821052,9891064, 123107108109R21101111121131141156,9441,8545,6663,3783,9864,8153,6025,0172,374Costs$4,2892,9945,2564,1233,8263,4945, 1042,6244,8883,1094,3043,3002,7064,7553,061mple regression results from the data of Davis Stores are as follows.Equation:Store costs = $1,716.9+ (Revenue x 52.5%)Statistical dataCorrelation coefficient0.8380.703=quired:Estimate store costs for a store with revenue of $3.0 million.What percentage of the variation in store costs is explained by the independent variable?

Consider the given regression results: Here, Cost is the dependent variable (y) and Revenue is the…

Answered: Davis Stores sells clothing in 15…

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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Food trucks have become a common sight on American campuses. They serve scores of hungry students strolling through campus and looking for trendy food served fast. The accompanying data file contains the number of students served on weekdays on a small campus in California. Weekday Students 1 84 2 66 3 108 4 113 5 74 6 115 7 110 8 116 9 128 10 114 11 97 12 85 13 119 14 151 15 187 16 144 17 139 18 108 19 71 20 28 21 22 22 61 23 65 24 100 25 53 26 73 27 52 28 29 29 65 30 35 31 48 32 84 33 104 34 96 35 121 36 116 37 97 38 143 39 154 40 166 1. Report the performance measures for the techniques in parts a and b. Note: Do not round intermediate calculations. Round final answers to 2 decimal places. Technique MSE MAD MAPE (%) 3-period moving average 5-period moving average
18. Extrapolate the business done in 2018 from the following data : Year 2013 2014 2015 2016 2017 Business done: 150 235 365 525 780
A research paper describes a study of the relationship between age and 1-hour swimming performance. Data on age and swim distance for over 10,000 men participating in a national long-distance 1-hour swimming competition are summarized in the accompanying table. Representative Age (Midpoint of Age Group) Average Swim Distance (meters) Age Group 20-29 25 3913.5 30-39 35 3718.8 40-49 45 3579.4 50-59 55 3351.9 60-69 65 3000.1 70-79 75 2639.0 80-89 85 2118.4 (a) Find the equation of the least-squares line with x = representative age and y = average swim distance. (Round your numerical values to three decimal places.) + (b) Compute the seven residuals. (Round your answers to three decimal places.) Representative Age (x) Residual (meters) 25 35 45 55 65 75 85 Use the seven residuals to construct a residual plot. Residual Residual Residual 200 200 200 100 100 100 - 100 -100 - 100
An agent for a residential real estate company in a large city has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward that goal, the agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent selects a sample of 25 apartments in a particular residential neighborhood and collects the following data: Size (square feet) Rent ($) 850 1950 1450 2600 1085 2200 1232 2500 718 1950 1485 2700 1136 2650 726 1935 700 1875 956 2150 1100 2400 1285 2650 1985 3300 1369 2800 1175 2400 1225 2450 1245 2100 1259 2700 1150 2200 896 2150 1361 2600 1040 2650 755 2200 1000 1800 1200 2750 Make a Normal Probability Plot and a Residual plot of the Residuals (Y axis) vs. Apartment Size (X axis). Based on these results,…
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The following summary data relate to the adult population of a small village: Adult population Number of employed Literate adult population employed Number of literates 600 240 80 200 Determine whether literacy and employment are associated or not.
22. Construct a cost of living index from the following indices, the weighte being food 55, rent 20, clothing 15, fuel and lighting 15 and miscellaneous 5: Year Food Rent Clothing Fuel and Lighting Miscellaneous 2014 2015 2016 2017 100 105 110 100 104 112 115 100 100 100 101 103 100 110 115 120 98 102 112 105
Dixie Showtime Movie Theaters, Inc., owns and operates a chain of cinemas in several markets in the southern U.S. The owners would like to estimate weekly gross revenue as a function of advertising expenditures. Data for a sample of eight markets for a recent week follow. Market Mobile Shreveport Jackson Birmingham Little Rock Biloxi New Orleans Baton Rouge Weekly Gross Revenue Television Advertising Newspaper Advertising ($100s) 101.3 51.9 74.8 126.2 137.8 101.4 237.8 219.6 ($100s) 5.0 3.0 4.0 4.3 3.6 3.5 5.0 6.9 + (a) Use the data to develop an estimated regression equation with the amount of television advertising as the independent variable. Let x represent the amount of television advertising. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) ŷ ($100s) 1.5 3.0 1.5 4.3 4.0 2.3 8.4 5.8 X Test for a significant relationship between television advertising and weekly…
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Charlie Corporation's managers in the stamping department have been studying the overhead cost and the relationship with machine hours. The following are data from the most recent 12 months. Month Overhead Machine hours January 5,030 2,730 February 1,600 600 March 7,210 3,403 April 4,560 2,200 May 6,880 3,411 June 6,520 2,586 July 6,230 3,364 August 5,570 2,411 September 7,728 3,960 October 5,810 2,897 November 4,580 2,207 December 6,010 2,864 The manager of the department has requested a regression analysis of these two variables. The staff person performing the analysis decided to exclude February. She observed the volume of activity was very low for that month because of two factors: a severe flue outbreak and an electrical fire that disrupted operations for about 10 working days. Required: c. Using the least square (regression) analysis, compute the fixed cost. d. Using the least square (regression) analysis, how much are the estimated overheads for…

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