Suggest according to naïve forecasting on the expected number of student appointments in this week. Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

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Answer 1

Question

Chapter 4, Problem 25P

A

Summary Introduction

Interpretation: Suggest according to naïve forecasting on the expected number of student appointments in this week.

Concept Introduction:Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

B

Summary Introduction

Interpretation: Calculate the expected student appointment for this week using the 3 week moving average and also the 2 week moving average.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

C

Summary Introduction

Interpretation: Determine the forecast for this week based on exponential smoothing method, supposing an alpha of 0.2, and a forecast 2 weeks ago was 90.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

D

Summary Introduction

Interpretation:Suggest the week’s forecast of student appointments based on the linear regression formula created using 4 weeks of data.

Concept Introduction:From the point where the correlation has limitations, the regression method is developed for measuring casual relationships.

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Students have asked these similar questions

Professor Z needs to allocate time among several tasks next week to include time for students' appointments. Thus, he needs to forecast the number of students who will seek appointments. He has gathered the following data: Week Number of students6 Weeks ago 515 Weeks ago 794 Weeks ago 833 Weeks ago 892 Weeks ago 71Last Week 93 What is this week's forecast using exponential smoothing with alpha = 0.3 , if the forecast for two weeks ago was 77 ? a. 75.2 b. 78.8 c. 69.86 d. 80.54

6. Tutoring Center needs to allocate tutors this week for office appointments, so it needs to forecast the number of students who will seek appointments. The director has gathered the following time series data recently: Time Period Code Student Appointments Jan 6 - 10 1 95 Jan 13 - 17 2 80 Jan 20 - 24 3 65 Jan 27 - 31 4 50 a) What is the naïve forecast for the number of student appointments for Time Period 5 (Feb 3 – 7)? b) What is the 2 week moving average for Time Period 5? c) What is the 3 week moving average for Time Period 5? d) What is the forecast for Time Period 5 using exponential smoothing with alpha = 0.2 and a forecast 90 for Time Period 3? e) Is demand for appointments increasing or decreasing?

A police station had to deploy a police officer for an emergency multiple times in the last four evenings. The table below shows the number of emergencies each evening. Weekday Number of calls each day Monday 9:48 Tuesday 3 Wednesday 8 Thursday 11 (Round your answer to 1 decimal place.) What would be their forecast for the emergencies on Friday using a two-day moving average approach? Forecast for Friday calls

Answer 2

Question

Chapter 4, Problem 25P

A

Summary Introduction

Interpretation: Suggest according to naïve forecasting on the expected number of student appointments in this week.

Concept Introduction:Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

B

Summary Introduction

Interpretation: Calculate the expected student appointment for this week using the 3 week moving average and also the 2 week moving average.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

C

Summary Introduction

Interpretation: Determine the forecast for this week based on exponential smoothing method, supposing an alpha of 0.2, and a forecast 2 weeks ago was 90.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

D

Summary Introduction

Interpretation:Suggest the week’s forecast of student appointments based on the linear regression formula created using 4 weeks of data.

Concept Introduction:From the point where the correlation has limitations, the regression method is developed for measuring casual relationships.

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Answer 3

Question

Chapter 4, Problem 25P

A

Summary Introduction

Interpretation: Suggest according to naïve forecasting on the expected number of student appointments in this week.

Concept Introduction:Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

B

Summary Introduction

Interpretation: Calculate the expected student appointment for this week using the 3 week moving average and also the 2 week moving average.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

C

Summary Introduction

Interpretation: Determine the forecast for this week based on exponential smoothing method, supposing an alpha of 0.2, and a forecast 2 weeks ago was 90.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

D

Summary Introduction

Interpretation:Suggest the week’s forecast of student appointments based on the linear regression formula created using 4 weeks of data.

Concept Introduction:From the point where the correlation has limitations, the regression method is developed for measuring casual relationships.

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Answer 4

Question

Chapter 4, Problem 25P

A

Summary Introduction

Interpretation: Suggest according to naïve forecasting on the expected number of student appointments in this week.

Concept Introduction:Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

B

Summary Introduction

Interpretation: Calculate the expected student appointment for this week using the 3 week moving average and also the 2 week moving average.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

C

Summary Introduction

Interpretation: Determine the forecast for this week based on exponential smoothing method, supposing an alpha of 0.2, and a forecast 2 weeks ago was 90.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

D

Summary Introduction

Interpretation:Suggest the week’s forecast of student appointments based on the linear regression formula created using 4 weeks of data.

Concept Introduction:From the point where the correlation has limitations, the regression method is developed for measuring casual relationships.

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Answer 5

Chapter 4, Problem 25P

A

Summary Introduction

Interpretation: Suggest according to naïve forecasting on the expected number of student appointments in this week.

Concept Introduction:Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

B

Summary Introduction

Interpretation: Calculate the expected student appointment for this week using the 3 week moving average and also the 2 week moving average.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

C

Summary Introduction

Interpretation: Determine the forecast for this week based on exponential smoothing method, supposing an alpha of 0.2, and a forecast 2 weeks ago was 90.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

D

Summary Introduction

Interpretation:Suggest the week’s forecast of student appointments based on the linear regression formula created using 4 weeks of data.

Concept Introduction:From the point where the correlation has limitations, the regression method is developed for measuring casual relationships.

Answer 6

Chapter 4, Problem 25P

A

Summary Introduction

Interpretation: Suggest according to naïve forecasting on the expected number of student appointments in this week.

Concept Introduction:Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

Answer 7

Chapter 4, Problem 25P

A

Summary Introduction

Interpretation: Suggest according to naïve forecasting on the expected number of student appointments in this week.

Concept Introduction:Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

Answer 8

B

Summary Introduction

Interpretation: Calculate the expected student appointment for this week using the 3 week moving average and also the 2 week moving average.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

Answer 9

B

Summary Introduction

Interpretation: Calculate the expected student appointment for this week using the 3 week moving average and also the 2 week moving average.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

Answer 10

C

Summary Introduction

Interpretation: Determine the forecast for this week based on exponential smoothing method, supposing an alpha of 0.2, and a forecast 2 weeks ago was 90.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

Answer 11

C

Summary Introduction

Interpretation: Determine the forecast for this week based on exponential smoothing method, supposing an alpha of 0.2, and a forecast 2 weeks ago was 90.

Concept Introduction: Most of the forecasting methods are based on the past performances of another organization in the similar industry. The process involved in the predicting of future occurrences is call forecasting.

Answer 12

D

Summary Introduction

Interpretation:Suggest the week’s forecast of student appointments based on the linear regression formula created using 4 weeks of data.

Concept Introduction:From the point where the correlation has limitations, the regression method is developed for measuring casual relationships.

Answer 13

D

Summary Introduction

Interpretation:Suggest the week’s forecast of student appointments based on the linear regression formula created using 4 weeks of data.

Concept Introduction:From the point where the correlation has limitations, the regression method is developed for measuring casual relationships.

Answer 14

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Answer 15

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Answer 16

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Answer 17

Ch. 4 - Prob. 1DQ Ch. 4 - Prob. 2DQ Ch. 4 - Prob. 3DQ Ch. 4 - Prob. 4DQ Ch. 4 - Prob. 1P Ch. 4 - Prob. 2P Ch. 4 - Prob. 3P Ch. 4 - Prob. 4P Ch. 4 - Prob. 5P Ch. 4 - Prob. 6P

Solution Summary: The author explains that nave forecasting predicts the expected number of student appointments in a week based on the past performance of another organization.

Videos

Interpretation:Suggest the week’s forecast of student appointments based on the linear regression formula created using 4 weeks of data.

Concept Introduction:From the point where the correlation has limitations, the regression method is developed for measuring casual relationships.

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Chapter 4 Solutions

Solution Summary: The author explains that nave forecasting predicts the expected number of student appointments in a week based on the past performance of another organization.

Videos

Interpretation:Suggest the week’s forecast of student appointments based on the linear regression formula created using 4 weeks of data. Concept Introduction:From the point where the correlation has limitations, the regression method is developed for measuring casual relationships.

Want to see the full answer?

Chapter 4 Solutions

Interpretation:Suggest the week’s forecast of student appointments based on the linear regression formula created using 4 weeks of data.

Concept Introduction:From the point where the correlation has limitations, the regression method is developed for measuring casual relationships.