3- Create three types of two-dimensional pivot tables (tables that includes two variables), including: (35%) 1) Showing relative frequency. Select one number from table and explain it. 2) Showing the % Row total. Select one number from table and explain it. 3) Showing the % Column total. Select one number from table and explain it. Grand total Gender | Age <20 Female Male Total 20-40 40-60 >60 10% 5% 15% 15% 15% 10% 25% 10% 25% 15% 40% 25% Row total Gender | Age <20 20-40 40-60 >60 Female Male Total Column total Gender | Age <20 20-40 40-60 >60 Female Male Total A 1 Sales_Rep B Business D E F G H J K L M 21 Age Hardware 50 Female Years College Personality Certficates Feedback Salary NPS 0 3 2 Hardware 46 0 43 Hardware 35 0 292 Yes Diplomat 1 3.34 98000 6 Yes Diplomat 3 1.38 81000 5 2 No Explorer 2 2.34 50000 4 5 4 Software 50 0 1 Yes Diplomat 5 2.24 117000 9 65 Hardware 25 0 8 No Sentinel 0 1.76 48000 76 Software 55 0 2 Yes Sentinel 0 3.76 75000 64 8 7 Hardware 31 0 2 Yes Sentinel 3 1.12 54000 3 98 Hardware 56 0 1 Yes Explorer 5 2.48 127000 8 10 9 Hardware 62 1 2 Yes Analyst 6 4.00 85600 7 11 10 Hardware 43 0 1 Yes Explorer 2 1.51 68000 4 12 11 Software 41 1 1 No Explorer 3 1.94 62800 3 13 12 Software 55 1 4 Yes Sentinel 5 3.21 62000 8 14 13 Hardware 53 1 6 Yes Sentinel 0 2.00 53400 3 15 14 Hardware 57 0 2 Yes Analyst 4 2.26 89000 4 16 15 Hardware 27 0 4 Yes Diplomat 5 1.95 79000 5 17 16 Software 44 1 13 Yes Explorer 5 1.69 75200 8 18 17 Hardware 34 1 1 Yes Sentinel 0 4.00 57200 6 19 18 Software 50 1 2 Yes Sentinel 1 2.48 59000 4 20 19 Hardware 29 0 5 Yes Explorer 3 2.15 48000 9 21 20 Hardware 52 1 1 Yes Explorer 1 2.3 56600 3 22 21 Hardware 53 0 1 No Analyst 4 1.67 58000 5 23 22 Hardware 35 0 6 Yes Explorer 0 1.97 64000 24 23 Hardware 64 0 2 Yes Diplomat 2 3.38 99000 25 24 Software 51 1 1 No Diplomat 2 2.25 55800 564 26 25 Hardware 56 0 3 No Explorer 4 2.21 92000 5 27 26 Software 40 1 1 No Analyst 4 3.91 57000 6 28 27 Hardware 45 0 2 Yes Explorer 4 2.28 96000 6 29 28 Software 44 1 2 Yes Sentinel 4 3.60 65200 5 30 29 Software 31 1 1 Yes Analyst 4 1.65 55800 4 31 30 Hardware 40 1 1 Yes Diplomat 3 3.51 109000 8 32 31 Software 29 0 5 Yes Sentinel 1 2.09 61000 2 33 32 Software 31 0 34 33 Hardware 58 0 35 34 Software 41 0 36 35 Software 24 0 2121 Yes Explorer 2 2.71 53000 4 Yes Diplomat 3 1.33 64000 5 Yes Explorer 4 2.89 70000 9 Yes Sentinel 4 3.33 61000 7

3- Create three types of two-dimensional pivot tables (tables that includes two variables), including: (35%) 1) Showing relative frequency. Select one number from table and explain it. 2) Showing the % Row total. Select one number from table and explain it. 3) Showing the % Column total. Select one number from table and explain it. Grand total Gender | Age <20 Female Male Total 20-40 40-60 >60 10% 5% 15% 15% 15% 10% 25% 10% 25% 15% 40% 25% Row total Gender | Age <20 20-40 40-60 >60 Female Male Total Column total Gender | Age <20 20-40 40-60 >60 Female Male Total A 1 Sales_Rep B Business D E F G H J K L M 21 Age Hardware 50 Female Years College Personality Certficates Feedback Salary NPS 0 3 2 Hardware 46 0 43 Hardware 35 0 292 Yes Diplomat 1 3.34 98000 6 Yes Diplomat 3 1.38 81000 5 2 No Explorer 2 2.34 50000 4 5 4 Software 50 0 1 Yes Diplomat 5 2.24 117000 9 65 Hardware 25 0 8 No Sentinel 0 1.76 48000 76 Software 55 0 2 Yes Sentinel 0 3.76 75000 64 8 7 Hardware 31 0 2 Yes Sentinel 3 1.12 54000 3 98 Hardware 56 0 1 Yes Explorer 5 2.48 127000 8 10 9 Hardware 62 1 2 Yes Analyst 6 4.00 85600 7 11 10 Hardware 43 0 1 Yes Explorer 2 1.51 68000 4 12 11 Software 41 1 1 No Explorer 3 1.94 62800 3 13 12 Software 55 1 4 Yes Sentinel 5 3.21 62000 8 14 13 Hardware 53 1 6 Yes Sentinel 0 2.00 53400 3 15 14 Hardware 57 0 2 Yes Analyst 4 2.26 89000 4 16 15 Hardware 27 0 4 Yes Diplomat 5 1.95 79000 5 17 16 Software 44 1 13 Yes Explorer 5 1.69 75200 8 18 17 Hardware 34 1 1 Yes Sentinel 0 4.00 57200 6 19 18 Software 50 1 2 Yes Sentinel 1 2.48 59000 4 20 19 Hardware 29 0 5 Yes Explorer 3 2.15 48000 9 21 20 Hardware 52 1 1 Yes Explorer 1 2.3 56600 3 22 21 Hardware 53 0 1 No Analyst 4 1.67 58000 5 23 22 Hardware 35 0 6 Yes Explorer 0 1.97 64000 24 23 Hardware 64 0 2 Yes Diplomat 2 3.38 99000 25 24 Software 51 1 1 No Diplomat 2 2.25 55800 564 26 25 Hardware 56 0 3 No Explorer 4 2.21 92000 5 27 26 Software 40 1 1 No Analyst 4 3.91 57000 6 28 27 Hardware 45 0 2 Yes Explorer 4 2.28 96000 6 29 28 Software 44 1 2 Yes Sentinel 4 3.60 65200 5 30 29 Software 31 1 1 Yes Analyst 4 1.65 55800 4 31 30 Hardware 40 1 1 Yes Diplomat 3 3.51 109000 8 32 31 Software 29 0 5 Yes Sentinel 1 2.09 61000 2 33 32 Software 31 0 34 33 Hardware 58 0 35 34 Software 41 0 36 35 Software 24 0 2121 Yes Explorer 2 2.71 53000 4 Yes Diplomat 3 1.33 64000 5 Yes Explorer 4 2.89 70000 9 Yes Sentinel 4 3.33 61000 7

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter13: Regression And Forecasting Models

Section13.7: Exponential Smoothing Models

Problem 25P: The file P13_25.xlsx contains the quarterly numbers of applications for home mortgage loans at a...

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Variable	Variable Type	Variable Level
Age	Numeric	Ratio
Gender	Categorical
Sales_Rep
Business
Years
College
Personality
Certificates
Feedback
Salary
NPS

	#of variables
	# of observations