QUANTITATIVE DATA ANALYSIS USING SPSS AN INTRODUCTION FOR HEALTH AND SOCIAL SCIENCE Pete Greasley Quantitative Data Analysis Using SPSS Quantitative Data Analysis Using SPSS An Introduction for Health & Social Science Pete Greasley Open University Press McGraw-Hill Education McGraw-Hill House Shoppenhangers Road Maidenhead Berkshire England SL6 2QL email: enquiries@openup.co.uk world wide web: www.openup.co.uk and Two Penn Plaza‚ New York‚ NY 10121-2289‚ USA First published
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Regression Analysis for Strike with Damage Reported and Wildlife Strike II. ABSTRACT A wildlife strike into aircraft engines at takeoff and/or landing causes highly significant outcomes. The Federal Aviation Administration released Advisory Circular (FAA‚ AC150/5200-32B‚ 2013) to address importance of the reporting and encourage airline operators to report wildlife strike damage. The FAA conducted a study of wildlife strike reporting systems in mid 1990s and used a statistical analysis
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research provides statistical analysis for gross monthly sales in 60 stores using five key measures within a 10km vicinity: number of competitors‚ population in ‘000’s‚ average population income‚ average number of cars owned by households‚ and median age of dwellings. These quantitative variables are the key determinants‚ which will provide substance for descriptive statistics and the multiple linear regression model. This research reports mainly on statistical analysis‚ providing a direct interpretation
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Regression As the human race ‘evolves’ and progresses it has created an environment unsuitable for the generations to come. This Darwinist environment promotes the ideals of a ‘dog-eat-dog’ world‚ in which one person’s ambitions are more important than another human being’s. People strive for the ideal life in which money is not an issue‚ so the matter of living comfortably is not a problem. To live comfortably is an idea of life without worry of matters such as starving‚ fiscal responsibility
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DATA SET 1 Soft Drink Demand Estimation Demand can be estimated with experimental data‚ time series data or cross section data. Sara Lee Corporation generates experimental data in test stores where the effect of an NFL-licensed Carolina Panthers logo on Champion sweatshirt sales can be carefully monitored. Demand forecasts usually rely on time series data. In contrast‚ cross-section data appear in Table 1. Soft drink consumption in cans per year is related to six pack price‚ income per capita
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random solutions‚ adopting greedy approaches‚ evolving the basic heuristics for finding better heuristics are just some of the popular approaches used in heuristic problem solving (Michalewicz and Fogel‚ 1999). Heuristic problem solving involves finding a set of rules‚ or a procedure‚ that finds satisfactory solutions to a specific problem. A good example is finding one’s way through a maze. To make the way
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2008: H0: The variables will predict whether or not a team will make the playoffs. H1: The variables will not predict whether or not a team will make the playoffs. After running the regressions‚ it’s clear that all of the variables are insignificant at the 5% level. The only one that may have some significance is the rush rank‚ yet even that variable is not a great indicator of whether or not a team will make the playoffs. The relationship between rush rank and making the playoffs is negative
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all the blessings in your life? Lou Gehrig preferred to count his blessings and continued to fight. He went day after day knowing his time was coming to an end‚ yet still managed to focus on the beautiful life he lived. In his speech “Farewell to Baseball Address”‚ Lou Gehrig uses rhetorical questions‚ repetition‚ and positive diction to effectively convey the idea that even though he was diagnosed with amyotrophic lateral sclerosis he is still blessed. Lou Gehrig used rhetorical questions to display
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Community Intervent... > Section 5. Collecting and Analyzing Data Collecting and Analyzing Data | | Contributed by Phil Rabinowitz and Stephen FawcettEdited by Christina Holt | What do we mean by collecting data? What do we mean by analyzing data? Why should you collect and analyze data for your evaluation? When and by whom should data be collected and analyzed? How do you collect and analyze data? In previous sections of this chapter‚ we’ve discussed studying the
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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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