STATISTICS FOR MGT DECISIONS FINAL EXAMINATION Forecasting – Simple Linear Regression Applications Interpretation and Use of Computer Output (Results) NAME SECTION A – REGRESSION ANALYSIS AND FORECASTING 1) The management of an international hotel chain is in the process of evaluating the possible sites for a new unit on a beach resort. As part of the analysis‚ the management is interested in evaluating the relationship between the distance of a hotel from the beach and the hotel’s
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1. Calculate real GDP for 2004 and 2005 using 2004 prices. To calculate the real GDP we use the constant price for 2004 which was $20. Real GDP (base year 2004) 2004 ($20 per CD x 100 CD’s) + ($110 per racquet x 200 racquets) = 24000 2005 ($20 per CD x 120 CD’s) + ($110 per racquet x 210 racquets) = 25500 By what percentage did real GDP grow? Because the Real GDP was $24000 in 2004 and $25500 in 2005‚ real GDP grew by ($25500 - $24000) / $24000 = 0.0625 or 6.25% 2. Calculate the
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LINEAR REGRESSION MODELS W4315 HOMEWORK 2 ANSWERS February 15‚ 2010 Instructor: Frank Wood 1. (20 points) In the file ”problem1.txt”(accessible on professor’s website)‚ there are 500 pairs of data‚ where the first column is X and the second column is Y. The regression model is Y = β0 + β1 X + a. Draw 20 pairs of data randomly from this population of size 500. Use MATLAB to run a regression model specified as above and keep record of the estimations of both β0 and β1 . Do this 200 times. Thus you
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QNT/561: Week One Assignment Exercises 80‚ 82‚ and 87 (Ch. 3) Exercise 80* a. The times are a population because we are considering the wait times for all of the customers seated on Saturday night. b. To find the mean: µ = ∑ X N µ = 1021 25 µ = 40.84 To find the median: The midpoint value of the population is 39. c. To find the range: Range = Largest Value – Smallest Value Range = 67 – 23 Range = 44 To find the standard deviation: σ = √∑ (X - µ)2
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AT&T Sampling and Data Plan Shelly Martin QNT561 August 14‚ 2014 Hon Tachia AT&T Sampling and Data Plan The cell phone industry is devastated by increasing competition and the declining economy. The customer service department in the cell phone industry is rising to levels that are leading AT&T’s management to evaluate options to promote sales during this tough economic time. The focus of AT&T to survive‚ continue to be competitive and make a profit. The recent histories of struggles they are encountering
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Time Elapsed | 1 hour‚ 17 minutes out of 2 hours. | Instructions | This quiz consist of 20 multiple choice questions. The first 10 questions cover the material in Chapter 1. The second 10 questions cover the material in Chapter 2. Be sure you are in the correct Chapter when you take the quiz. | * Question 1 2 out of 2 points | | | An area of finance that refers to the physical locations or electronic forums that facilitate the flow of funds among investors‚ businesses‚ and governments
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This pack of QNT 561 Week 1 Individual Assignment 2 consists of: Resource: Statistical Techniques in Business Economics Prepare responses to the following exercises from the text: Problem 80 Problem 87 Deadline: ( )‚ Mathematics - Statistics does any have all the mathlabs for week two. All versions I should state. Be open-minded when dating. Instead of going out for dinner‚ set up a nice candlelight dinner at home. This is not only the more impressive option
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MATH533: Applied Managerial Statistics PROJECT PART C: Regression and Correlation Analysis Using MINITAB perform the regression and correlation analysis for the data on SALES (Y) and CALLS (X)‚ by answering the following questions: 1. Generate a scatterplot for SALES vs. CALLS‚ including the graph of the "best fit" line. Interpret. After interpreting the scatter plot‚ it is evident that the slope of the ‘best fit’ line is positive‚ which indicates that sales amount varies directly
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Answers to Midterm Test No. 1 1. Consider a regression model of relating Y (the dependent variable) to X (the independent variable) Yi = (0 + (1Xi+ (i where (i is the stochastic or error term. Suppose that the estimated regression equation is stated as Yi = (0 + (1Xi and ei is the residual error term. A. What is ei and define it precisely. Explain how it is related to (i. ei is the residual error term in the sample regression function and is defined as eI hat = Y
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a) The Ludlow Wildcats baseball team‚ a minor league team in the Cleveland Indians organization‚ plays 70 percent of their games at night and 30 percent during the day. The team wins 50 percent of their night games and 90 percent of their day games. According to today’s newspaper‚ they won yesterday. What is the probability the game was played at night? % of games played at night = 70% % of games played during day = 30% % of night games won =50% % of day games won= 90%
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