MATH533: Applied Managerial Statistics PROJECT PART C: Regression and Correlation Analysis Using MINITAB perform the regression and correlation analysis for the data on SALES (Y) and CALLS (X)‚ by answering the following questions: 1. Generate a scatterplot for SALES vs. CALLS‚ including the graph of the "best fit" line. Interpret. After interpreting the scatter plot‚ it is evident that the slope of the ‘best fit’ line is positive‚ which indicates that sales amount varies directly
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Quick Stab Collection Agency: A Regression Analysis Gerald P. Ifurung 04/11/2011 Keller School of Management Executive Summary Every portfolio has a set of delinquent customers who do not make their payments on time. The financial institution has to undertake collection activities on these customers to recover the amounts due. A lot of collection resources are wasted on customers who are difficult or impossible to recover. Predictive analytics can help optimize the allocation of
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the public. Promotional tool is to very important in commercial and non commercial industries like hospitals‚ school and universities to arouse their marketing interest. Televisions‚ radio‚ newspapers‚ internet and word-of-mouth are some common forms used in promotion. A very good promotional tool will help a particular business to gain more profit because of the market popularity about the product. The more familiar the product is the more possibility that he market will demand on it‚ that is why
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Demand Forecasting Problems Simple Regression a) RCB manufacturers black & white television sets for overseas markets. Annual exports in thousands of units are tabulated below for the past 6 years. Given the long term decline in exports‚ forecast the expected number of units to be exported next year. |Year |Exports |Year |Exports | |1 |33 |4 |26
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Unit 5 – Regression Analysis Mikeja R. Cherry American InterContinental University Abstract In this brief‚ I will demonstrate selected perceptions of the company Nordstrom‚ Inc.‚ a retailer that specializes in fashion apparel with over 12 million dollars in sales last year. I will research‚ review‚ and analyze perceptions of the company‚ create graphs to show qualitative and quantitative analysis‚ and provide a summary of my findings. Introduction Nordstrom‚ Inc. is a retailer
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An analysis of strategy used by Barclays capital for its Hedge fund returns and measures used by it to gain the trust of their investors Table of Contents: 1. Aims and objective 2. Introduction 3. Justification of study 4. Literature review 5. Hypothesis 6. Methodology 7. Conclusion 8. Bibliography Aims and objectives: * An analysis of the strategy used by the Barclays bank to get high returns from its hedge funds * A critical
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In this question you will analyze the JUNKMAIL dataset found in the SASHELP library. Follow the procedure we used for analyzing the HMEQ dataset. Detailed instructions for the HMEQ analysis are given in the emcs.pdf document. You will need to create and execute the process flow diagram shown above. Further requirements for analyzing JUNKMAIL are as given below: This data will be used to classify emails as junk mail or not. Create the data source and set the role for all variables‚ including
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Chap 13 44 1.4 100 1.3 110 1.3 110 0.8 85 1.2 105 1.2 105 1.1 120 0.9 75 1.4 80 1.1 70 1.0 105 1.1 95 A sample of 12 homes sold last week in St. Paul‚ Minnesota‚ is selected. Can we conclude that‚ as the size of the home (reported below in thousands of square feet) increases‚ the selling price (reported in $ thousands) also increases? * Compute the coefficient of correlation. * = [12(1344) – (13.8)(1160)]/12(16.26) – (13.8)2][12(114850)
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Table 1 showed the empirical results of microfinance and poverty reduction through the Tobit regression method of analysis. For this study to evaluate the influence of microfinance on the poverty reduction‚ Tobit regression model was regressed on the poverty reduction‚ on the key variables in this study. These include micro-credit‚ age‚ household size‚ qualification‚ nature of business‚ duration of membership and village type. In this model‚ poverty reduction is a dummy and is considered as the dependent
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The simple regression model (SRM) is model for association in the population between an explanatory variable X and response Y. The SRM states that these averages align on a line with intercept β0 and slope β1: µy|x = E(Y|X = x) = β0 + β1x Deviation from the Mean The deviation of observed responses around the conditional means µy|x are called errors (ε). The error’s equation: ε = y - µy|x Errors can be positive or negative‚ depending on whether data lie above (positive) or below the conditional
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