Forecasting Models: Associative and Time Series Forecasting involves using past data to generate a number, set of numbers, or scenario that corresponds to a future occurrence. It is absolutely essential to short-range and long-range planning. Time Series and Associative models are both quantitative forecast techniques are more objective than qualitative techniques such as the Delphi Technique and market research. Time Series Models Based on the assumption that history will repeat
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Bivariate statistical tests are nothing but a kind of statistical analysis. Such process incorporates two variables signified by X, Y in most of the cases. The purpose of these kinds of tests is to determine the empirical relationship between two different variables. This is better to see those variables are interrelated or not. A common part such kind of analysis is to find out whether those two variables are changeable in response to each and every measure or not. Such change happens simultaneously. This
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between the dependent and independent variables while both ANN and GA don’t have any such assumptions and they form models based on the pattern observed from the data. * If we compare ANN with GA we can see that GA has a better model in terms of “Total sum of squares”. This could be due to the absence of prior solution for ANN to form a model or due to presence of noise in the data. * We were estimating how much of each of the independent variables would result in dependent variable. Since we
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Ordinal III- Interval IV- Ratio Other I- Dichotomous II- Likert-type scale III- List of items IV- Matrix question Correlation analysis is used to describe the strength and direction of the linear relationship between two variables. Types I- Pearson correlation is used when quantitative data is normally distributed. II- Spearman correlation is used when data is not normally distributed Reliability: Reliability of measure indicates extent to which it is without bias
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Disciplines to the OB Field (cont’d) Contributing Disciplines to the OB Field (cont’d) Contributing Disciplines to the OB Field (cont’d) Contributing Disciplines to the OB Field (cont’d) There Are Few Absolutes in OB x Contingency Variables y Challenges and Opportunity for OB • • • • • Responding to Globalization Managing Workforce Diversity Improving Quality and Productivity Responding to the Labor Shortage Improving Customer
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Business Research Reflections In week two the objectives were to state the purpose of business research, Develop appropriate research questions and hypotheses, and identify dependent And independent variables. The purpose of conducting research in a business is to find and identify any Problems that may already exist, or may arise later. Business research is done to Obtain information, and to separate the business from their competitors. By Conducting a business
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Findings: The data analysis figuring out the correlation of these variables with the subject of the study i.e. factors influencing the prescribing behavior of the physician. The data shows the significance level of individual independent variable as Promotional tools. According to the results of Multiple Regressions Analysis (MRA) the researchers can conclude that independent variables have significant relationship with dependent variable. Therefore other all hypotheses are accepted except on Personal
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Abstract—This paper analysed factors that affecting the prices of gold in Malaysia. The study used Multiple Linear Regression Model to determined significant relationship between dependent and independent variables, covering data for 10 years period which are from 2003 until 2012. The researcher used three independent variables that affect the prices of gold which are crude oil prices, inflation rates and exchange rates. The empirical results have found there is negatively significant relationship between
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4th Ed., Financial Times, Prentice Hall [Chapter 9] When we look at interval or ratio scale variables there is often a relationship, eg: price and quantity demanded; time spent studying and exam results obtained; gardai (police) on duty and number of crimes as well as alcohol consumed and sensibility! Regression and correlation analysis is useful because it allows us predict the value of one variable from the knowledge of another. The said relationship can be positive or negative. One first step
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Chapter 1 THE PROBLEM AND ITS SCOPE Introduction Nightlife or after-school jam is the collective term for any amusement that is available and more popular from the late evening to the early morning. Nightlife includes the public houses, night clubs, discotheques, bars, live music, concert, shows and sometimes restaurant that has cover charge for admission, and make their money on alcoholic beverages. Nightlife was supposed to be oriented for adults, but nowadays, teenagers preferably high school
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