analysis Discriminant analysis linear equation Assumptions of discriminant analysis SPSS activity – discriminant analysis Stepwise discriminant analysis 589 590 590 593 604 When you have read this chapter you will understand: 1 The purposes of discriminant analysis. 2 How to use SPSS to perform discriminant analysis. 3 How to interpret the SPSS print out of discriminant analysis. Introduction This chapter introduces another extension of regression where the DV may have more than
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Minimizing of customer switching is one of the biggest challenges facing bankers today. This paper aims to examine the role of the service quality in determining switching behavior of the retail banking customers. Data gathered through a survey questionnaire from a random sample of 360 retail‐banking customers in the Western Province of Sri Lanka. Correlation Analysis and Multiple Linear Regression Analysis used to analyze data to examine degrees of impact on switching propensity from each individual
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representing a large‚ national not-for-profit hospital system. The patient satisfaction survey included the Consumer Assessment of Healthcare Providers and Systems‚ Health Care questionnaire items‚ and there are 31‚471 cases. Two-stage multiple linear regression analyses were conducted with control variables (age‚ gender‚ perceived health‚ education and race). It was found that patients’ highest priority is to be treated with courtesy and respect by nurses and physicians (Otani‚ K.‚ Herrmann‚ P.‚ & Kurz
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The Special Issue on Contemporary Issues in Business and Economics © Centre for Promoting Ideas‚ USA Consumers’ Purchase Intentions in Fast Food Restaurants: An Empirical Study on Undergraduate Students Huam Hon Tat * Seng Sook-Min Thoo Ai-Chin Amran Rasli Abu Bakar Abd Hamid Department of Management Faculty of Management and Human Resource Development Universiti Teknologi Malaysia‚ 81310 UTM Skudai‚ Johor‚ Malaysia Phone: +607-5531816‚ E-mail: huam@utm.my‚* Abstract The fast food industry
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independent variable and 5 lags were considered dependable variable. By applying regression analysis‚ using backward method where the most insignificant variable is deleted one by another and finally results are produced‚ it was concluded that when regression was run using all variables together we found the model has strong relationship between dependent and independent variables. Secondly when we use regression analysis applying to individual variable separately it revealed that only variable
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9/20/2011 RBI- has been a pretty important and valuable statistic…however recently the RBI has been becoming more and more discredited. 9/22/2011 How We Know What Isn’t So 1. Misperception of Random Events - Hot hand fallacy – Most statistical analysis shows that it’s not true. The evidence shows that the hot hand idea is false and that each shot is independent from the past shot. -Ex: Checked the statistics of the Philadelphia 76ers 1980 season and there was no correlation between
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analysis of data of attitudes towards risk before and after the scandal‚ will give an indication on the effects the UBS bank scandal has had on financial organisations’ attitudes towards risk. In addition‚ through the use of correlation coefficient and regression analysis whether or not there is a correlation between the risk attitude of companies and their volatilitywill be assessed‚ and if so to measure this effect. Both primary and secondary research has been used in gathering the data. The primary
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au/webapps/portal/frameset.jsp?tab=courses&url=/bin/common/course.pl?course_id=_111213_1&frame=top You assignment must be in a Word doc format – no pdfs! When answering questions‚ wherever required‚ you should cut and paste the Excel output (eg‚ plots‚ regression output etc) to show your working on your assignment. You are required to keep a hard copy and an electronic copy of your submitted assignment to re-submit‚ in case the original submission is lost for some reason. Important Notice: As this
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1. (24 points) If needed‚ additional workspace is provided on the next sheet. Doug Moodie is the president of Garden Products Limited. Over the last 5 years‚ his vice president of marketing has been providing the sales forecast using his special “focus” forecasting technique. The actual sales for the past ten years and the forecasts from the vice president of marketing are given below. |Year |Sales |VP/Marketing
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sameaccounting methods and reporting periods. Exhibit 5 assumes a positive linearrelationship between ROIC and the multiple Adjusted Enterprise Value/AverageInvested Capital. Regression analysis and traditional multiples analysis – similarities anddifferences The two analyses both predict the underlying value of the firm. Also‚ both regression and multiples analyses reflect the past. The future value of the firm is obtained usinghistorical inputs. Both analyses assume that firms in the same industry arecomparable
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