GROUP 1 ABSTRACT Analysis of Bharti airtel’s subscriber base was done using Time series analytical tools to develop predictive models. Different models linear‚ exponential were developed and December 2009 forecast was made using them. Our research revealed that subscriber growth is non linear thus best explained and predicted by exponential curve such as logistic curve. Introduction Tele-communication has evolved with time and in recent years with the growth in technology
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Scatter Diagram and Types of Relationships 4.3 Correlation Coefficient 4.4 Interpretation of Correlation Coefficient 4.5 Definition of Regression Analysis 4.6 Dependent and Independent Variables 4.7 Simple Linear Regression: Least Squares Method 4.8 Using the simple Linear Regression equation 4.9 Cautionary Notes and Limitations OBJECTIVES By the end of this chapter‚ you will be able to: 1 determine the strength and nature of the association between the variables.
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Name: __________________________________________ Algebra Keystone Exam Review 1) Simplify the expression: √ √ √ √ A) √ B) √ C) √ D) A right triangle has one leg that is twice the length of the other leg. If the hypotenuse is √ ‚ find the length of the longer leg. 2) A) 8 B) 16 C) 4 D) 32 3) Which statement has the largest value of x? A) √ B) √ C) √ √ D) √ √ 4) Simplify: ( √ ) A) B) C)
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MAST10007 Linear Algebra MATLAB Test Test duration: 45 minutes This paper has 6 test pages Please complete all the following details. Name: Student Number: Tutor’s Name: Tutorial Time and Day: ..................................................... ..................................................... ..................................................... ..................................................... Instructions to Students: This examination is designed to test your ability to calculate efficiently
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to use the law of iterated expectations in proving the BLUE. With Assumptions (B)‚ the BLUE is given conditionally on Let us use Assumptions (A). The Gauss-Markov Theorem is stated below Under Assumptions (A)‚ the OLS estimators‚ are the Best Linear Unbiased Estimator (BLUE)‚ that is 1. Unbias : 2. Best : Real data seldomly satisfy Assumptions (A) or Assumptions (B). Accordingly we should think that the Gauss-Markov theorem only holds in the never-never land. However‚ it is important
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Course MBA – 2nd Semester Subject Operations Research Assignment MB0048 – Set 1 Q.1. (a) what is linear programming problem? (b) A toy company manufactures two types of dolls‚ a basic version doll- A and a deluxe version doll-B. Each doll of type B takes twice as long to produce as one of type A‚ and the company would have time to make maximum of 1000 per day. The supply of plastic is sufficient to produce 1000 dolls per day (both A & B combined). The deluxe version requires
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38 out of 40 points Instructions Question 1 .2 out of 2 points The standard form for the computer solution of a linear programming problem requires all variables to be to the right and all numerical values to be to the left of the inequality or equality sign Answer Selected Answer: False Correct Answer: False . Question 2 .2 out of 2 points In a balanced transportation model‚ supply equals demand such that all constraints can be treated as equalities
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CHAPTER 16 SIMPLE LINEAR REGRESSION AND CORRELATION SECTIONS 1 - 2 MULTIPLE CHOICE QUESTIONS In the following multiple-choice questions‚ please circle the correct answer. 1. The regression line [pic] = 3 + 2x has been fitted to the data points (4‚ 8)‚ (2‚ 5)‚ and (1‚ 2). The sum of the squared residuals will be: a. 7 b. 15 c. 8 d. 22 ANSWER: d 2. If an estimated regression line has a y-intercept of 10 and a slope of 4‚ then when x = 2 the actual value
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method Delphi method In looking at seasonal indexes one weakness to watch for is Select one: use of the wrong alpha seasonality is not present significant increase in computational requirements incorrect selection of weights a clear lack of linear relationship Which of the following forecasting methods is specifically designed to go through several rounds of modification before generating a final forecast? Select one: Delphi method Executive opinion Gamma method Naïve method Exponential
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IEOR 4000: Production Management Lecture 5 1 Professor Guillermo Gallego 9 October 2001 Aggregate Production Planning Aggregate production planning is concerned with the determination of production‚ inventory‚ and work force levels to meet fluctuating demand requirements over a planning horizon that ranges from six months to one year. Typically the planning horizon incorporate the next seasonal peak in demand. The planning horizon is often divided into periods. For example‚ a one
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