STA 600 ASSIGNMENT 2 CHAPTER 3: DIAGNOSTICS AND REMEDIAL MEASURES Diagnostic For Predicted Variable Probems can occur when: * Outliers exist among X levels * X levels are associated with run order when experiment is run sequentially Useful plots of X levels: * Dot plot for discrete data * Histogram /stem-and-leaf plot * Box plot * Sequence plot (versus time order) Departures From Model To Be Studied By Residual 1. The regression function is not
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the analysis of the motion picture industry data first presented in Chapter 2. Developing and interpreting descriptive statistics such as the mean‚ median‚ standard deviation and range are emphasized. Five-number summaries and the identification of outliers are also of interest. Interpretations and insights can vary. We illustrate some below. Descriptive Statistics Variable N Mean SE Mean StDev Range Opening Gross 100 9.38 1.89 18.87 108.43 Total
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Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Data Visualization • “A picture is worth a thousand words” • Data visualization and summary statistics help condense data • Effective presentation • Supports data cleaning (identify missing values‚ outliers‚ incorrect values‚ duplicates) and exploring (combine some groups) • Helps identify suitable variables • Mandatory initial step for most data mining applications Graphs for Data Exploration Basic Plots Line Graphs Bar Charts Scatterplots Distribution
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huge problem in all of our categories. We did find out that was a severe multicollinearity that occurred between SG&A and the operating income. Because of this we determined that the five variable model would not work for our regression. Outliers: When one is comparing a variety of companies it is discovered that there is a difference in size from one company to another‚ even
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Hypothesis: Female unemployment in the North West is greater than female unemployment in the South East. To test my hypothesis I am going to compare 40 values of data from each region. I will collect my data by using a random sample. I am going to use a random sample because this method of sample gives each separate value an equal chance of being used and it is also completely unbiased. I will assign a number from 1 to 80( because there is a total of 80 pieces of data) to every piece of data. I
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University of tilburg | Oil consumption in less developed countries | Empirical study on oil consumption in less developed countries | Abstract: This paper investigates the relation between GDP and oil consumption in a sample of 71 LDC’s. Two outlier countries with a deviating rate of oil consumption are found. Equatorial Guinea has relatively low oil consumption‚ while The Seychelles has relatively high oil consumption‚ in relation to their GDP. After that possible factors that might affect
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AP Statistics Quarter 1 Final (Chapters 1-5) Chapter 1 Sections 1.1 and 1.2 I. Observation vs. Experiment A. Observational study: Record data on individuals without attempting to influence the responses. We typically cannot prove anything this way. B. Experimental study: Deliberately impose a treatment on individuals and record their responses. Influential factors can be controlled. C. Confounding 1. Two variables (explanatory variables or lurking variables) are confounded when their effects
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Linear Regression Models 1 SPSS for Windows® Intermediate & Advanced Applied Statistics Zayed University Office of Research SPSS for Windows® Workshop Series Presented by Dr. Maher Khelifa Associate Professor Department of Humanities and Social Sciences College of Arts and Sciences © Dr. Maher Khelifa 2 Bi-variate Linear Regression (Simple Linear Regression) © Dr. Maher Khelifa Understanding Bivariate Linear Regression 3 Many statistical indices summarize information about
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mode data set. In addition‚ the outlier is less between mean and mode. VARIABLES MEAN MEDIAN MODE Bedrooms 3.80 4.00 4.00 Size 2‚223.81 2‚200 2‚100 Baths 2.081 2.00 2.00 According to our computation for measure of dispersion (see attached excel file for mega stat)‚ we found out that there are low and high outliers that existed on one of the variable. Under the size of the house column‚ the low outlier shows 1 deviation and 3 deviations on high outlier. It means that there is variability
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Practice makes perfect right? That’s what we are told when we are young and even when we get older to motivate us to work to improve‚ but is practice really the key to success? Malcolm Gladwell makes an argument on page 40 of his book‚ Outliers that‚ “The emerging picture from such studies is that ten thousand hours of practice is required to achieve the level of mastery associated with being a world class-expert--- in anything.” There are several people who disagree with his thinking. Although I
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