Consider the following data generated by Company A in reviewing its SalesIMarketing operations and various sales represtative in a major market. AdvExp 2243.1 7747.1 402.4 Sales 4675.56 6125.96 2134.94 503166 Seniority 186. 18 16179 8.94 MrktSz 68521.3 57805.1 37806.9 Share 8.27 9.15 5.51 8.54 7.07 12.54 8.85 5.38 5.43 Rating 3.4 4.6 4.5 Econlndex 13.40 17.64 16.22 3367.45 6519.45 4876.37 2468.27 365.04 220.32 127.64 105.69 57.72 50935.3 35602.1 46176.8 3140.6 2086.2 8846.2 5673.1 27618 4.6 2.3 4.9 2.8 3.1 18.80 19.86 17.42 21.41 16.32 14.51 42053.2 36829.7 2533.31 2408. 11 2337.38 4586.95 2729.24 23.58 13.82 13.82 86.99 165.85 116.26 33612.7 21412.8 20416.9 36272.0 23093.3 19918 19715 1737.4 10694.2 8618.6 7747.9 4.2 4.3 4.2 5.5 3.6 3.4 8.48 7.80 10.34 19.35 20.02 15.26 15.87 7.81 5. 15 6.64 5.45 6.31 6.35 7.37 8.39 5.15 26878.6 39572.0 3289.40 2800. 78 3264.20 3453.62 174145 2035. 75 42.28 52.84 165.04 4565.8 6022.7 37211 8610 35715 2845.5 5060.1 3552.0 4.2 3.6 3.1 16 3.4 51866.1 58749.8 16.00 17.44 17.98 10.57 23990.8 25694.9 20.99 2166 21.46 25.78 24.96 13.82 1578.00 4167.44 2799.97 The variables are: 8. 13 58.44 21.14 23736.3 34314.3 22809.5 2.7 2.8 3.9 12.88 9.14 SALES are the total sales credited to a individual sales representative. SENIORITY is the length of time a sales reprsentative has been employed (in months) MRKTSZ is market potential total sales in units for the sales territory ADVEXP are the advertising expenditures in the market. SHARE is the company's market share (weighted for the last 4 years) ECONINDEX is the weighted index of local economic activity RATINGIS the sales representative's overall rating based on eight performance dimensions on an aggregate rating scale of 1-7. A Assume ana equals 0.05 and using "Backward Elimination" develop an equation (forecasting equation) relating the Sales to all relevant variables in the data above. What is that regression (forecasting) equation? What% of the variation in the data does this equation explain? B. What sales level can the company expect for a sales representative given the following data: SENIORITY 87.0 MAKTSZ ADVEXP SHARE RATING ECONINDEX 38858.1 4357.0 7.6 3.7 18.1 C. When the company uses this model to predict prefromance what MAPE should the company expect based on the historical data? 325co42 242 32.
Consider the following data generated by Company A in reviewing its SalesIMarketing operations and various sales represtative in a major market. AdvExp 2243.1 7747.1 402.4 Sales 4675.56 6125.96 2134.94 503166 Seniority 186. 18 16179 8.94 MrktSz 68521.3 57805.1 37806.9 Share 8.27 9.15 5.51 8.54 7.07 12.54 8.85 5.38 5.43 Rating 3.4 4.6 4.5 Econlndex 13.40 17.64 16.22 3367.45 6519.45 4876.37 2468.27 365.04 220.32 127.64 105.69 57.72 50935.3 35602.1 46176.8 3140.6 2086.2 8846.2 5673.1 27618 4.6 2.3 4.9 2.8 3.1 18.80 19.86 17.42 21.41 16.32 14.51 42053.2 36829.7 2533.31 2408. 11 2337.38 4586.95 2729.24 23.58 13.82 13.82 86.99 165.85 116.26 33612.7 21412.8 20416.9 36272.0 23093.3 19918 19715 1737.4 10694.2 8618.6 7747.9 4.2 4.3 4.2 5.5 3.6 3.4 8.48 7.80 10.34 19.35 20.02 15.26 15.87 7.81 5. 15 6.64 5.45 6.31 6.35 7.37 8.39 5.15 26878.6 39572.0 3289.40 2800. 78 3264.20 3453.62 174145 2035. 75 42.28 52.84 165.04 4565.8 6022.7 37211 8610 35715 2845.5 5060.1 3552.0 4.2 3.6 3.1 16 3.4 51866.1 58749.8 16.00 17.44 17.98 10.57 23990.8 25694.9 20.99 2166 21.46 25.78 24.96 13.82 1578.00 4167.44 2799.97 The variables are: 8. 13 58.44 21.14 23736.3 34314.3 22809.5 2.7 2.8 3.9 12.88 9.14 SALES are the total sales credited to a individual sales representative. SENIORITY is the length of time a sales reprsentative has been employed (in months) MRKTSZ is market potential total sales in units for the sales territory ADVEXP are the advertising expenditures in the market. SHARE is the company's market share (weighted for the last 4 years) ECONINDEX is the weighted index of local economic activity RATINGIS the sales representative's overall rating based on eight performance dimensions on an aggregate rating scale of 1-7. A Assume ana equals 0.05 and using "Backward Elimination" develop an equation (forecasting equation) relating the Sales to all relevant variables in the data above. What is that regression (forecasting) equation? What% of the variation in the data does this equation explain? B. What sales level can the company expect for a sales representative given the following data: SENIORITY 87.0 MAKTSZ ADVEXP SHARE RATING ECONINDEX 38858.1 4357.0 7.6 3.7 18.1 C. When the company uses this model to predict prefromance what MAPE should the company expect based on the historical data? 325co42 242 32.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Topic Video
Question
100%
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 4 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman