Question 4.6A-C ## Monthly Sales Analysis for Telco Batteries, Inc.### Sales DataThe monthly sales figures for Telco Batteries, Inc. are presented below:| Month | Sales ||------------|-------|| January | 20 || February | 21 || March | 15 || April | 14 || May | 13 || June | 16 || July | 17 || August | 18 || September | 20 || October | 20 || November | 21 || December | 23 |### Tasksa) **Plot the Monthly Sales Data:** Create a visual representation of the sales data in the form of a graph.b) **Forecast January Sales Using Various Methods:** i) **Naive Method:** Use the last month's sales figure as the forecast for January. ii) **3-Month Moving Average:** Calculate the average sales of the last three months. iii) **6-Month Weighted Average:** Use the weights of 0.1, 0.1, 0.1, 0.2, 0.2, and 0.3, with the heaviest weights assigned to more recent months. iv) **Exponential Smoothing:** Apply exponential smoothing with a smoothing constant (α) of 0.3, using September's sales figure of 18 as the baseline forecast. v) **Trend Projection:** Analyze the trend in sales over the past months to project future sales.c) **Determine the Best Forecast Method for March:** Assess the given data to identify the most accurate forecasting method for predicting sales in March.This exercise is designed to improve your understanding of different forecasting techniques and their application in sales predictions.

A) MONTH Sales January 20 February 21 March 15 April 14 May 13…

Answered: 4.6 The monthly sales for Telco…

Business

Operations Management

4.6 The monthly sales for Telco Batteries, Inc., we lows: Month Sales January February 20 21 March 15 April 14

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

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Question

Question 4.6

A-C

## Monthly Sales Analysis for Telco Batteries, Inc.

### Sales Data

The monthly sales figures for Telco Batteries, Inc. are presented below:

| Month | Sales |
|------------|-------|
| January | 20 |
| February | 21 |
| March | 15 |
| April | 14 |
| May | 13 |
| June | 16 |
| July | 17 |
| August | 18 |
| September | 20 |
| October | 20 |
| November | 21 |
| December | 23 |

### Tasks

a) **Plot the Monthly Sales Data:** Create a visual representation of the sales data in the form of a graph.

b) **Forecast January Sales Using Various Methods:**

i) **Naive Method:** Use the last month's sales figure as the forecast for January.

ii) **3-Month Moving Average:** Calculate the average sales of the last three months.

iii) **6-Month Weighted Average:** Use the weights of 0.1, 0.1, 0.1, 0.2, 0.2, and 0.3, with the heaviest weights assigned to more recent months.

iv) **Exponential Smoothing:** Apply exponential smoothing with a smoothing constant (α) of 0.3, using September's sales figure of 18 as the baseline forecast.

v) **Trend Projection:** Analyze the trend in sales over the past months to project future sales.

c) **Determine the Best Forecast Method for March:** Assess the given data to identify the most accurate forecasting method for predicting sales in March.

This exercise is designed to improve your understanding of different forecasting techniques and their application in sales predictions.

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