Practical Management Science, Loose-leaf Version
Practical Management Science, Loose-leaf Version
5th Edition
ISBN: 9781305631540
Author: WINSTON, Wayne L.; Albright, S. Christian
Publisher: Cengage Learning
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Chapter 14.3, Problem 8P
Summary Introduction

To determine: The thing that has the strong linear relationship with the annual salary.

Introduction: Forecasting is a technique of predicting future events based on historical data and projecting them into the future with a mathematical model. Forecasting may be an intuitive or subjective prediction.

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Defines a linear regression equation in its components (y, x, a and b).
You work as a sales operations analyst in a company that makes 3D printers. Your manager has asked you to determine if a salesperson's sales volume (in terms of the number of 3D printers they sell in a year) depends on the number of client calls they make. After analyzing past data and creating a linear regression model, you've found the following relationship: No. of printers sold = 18.47 + 1.13 times the number of client calls.     1. Based on this, how many client calls will a salesperson need to make to sell 245 printers next year? a. 200 (rounds to) b. 215 (rounds to) c. 230 (rounds to) d. 240 (rounds to)
In regression, the variable predicted is called the     regression variable     independent variable     dependent variable     predictor
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