1. Chi-square Goodness-of-fit Tests Jake is trying to invest his money in stock market‚ is not sure that he could earn a profit or lose his money when he invests to an AT&T company’s stock or a stock market index‚ Dow Jones Industry Average. So he called his friend who works at financial consulting company and heard that the monthly positive and negative investment returns on AT&T and Dow Jones Industry Average were historically almost the same. However the economic situation recently has been getting
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Associate Program Material Appendix D Selecting a Topic and Brainstorming Worksheet Complete the following and post as an attachment. |What two objects‚ people‚ subjects‚ or concepts are you going to |Paperback/Hardcover books vs. eBooks. | |compare and/or contrast? | | |What are the similarities between the two objects‚ people‚ |They both contain stories
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Regression Analysis: A Complete Example This section works out an example that includes all the topics we have discussed so far in this chapter. A complete example of regression analysis. PhotoDisc‚ Inc./Getty Images A random sample of eight drivers insured with a company and having similar auto insurance policies was selected. The following table lists their driving experiences (in years) and monthly auto insurance premiums. Driving Experience (years) Monthly Auto Insurance Premium 5 2 12 9
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CORRELATION & LINEAR REGRESSION Prof. Jemabel Gonzaga-Sidayen Spearman rank order correlation coefficient rho (rs) • Spearman rho is really a linear correlation coefficient applied to data that meet the requirements of ordinal scaling • Formula: rs = 1 - 6 Σ D i 2 N3 - N – Di = difference between the ith pair of ranks – R(Xi) = rank of the ith X score – R(Yi) = rank of the ith Y score – N = number of pairs of ranks Try this Subject Proportion of Similar Attitudes (X) Attraction (Y) Rank of
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How to Analyze the Regression Analysis Output from Excel In a simple regression model‚ we are trying to determine if a variable Y is linearly dependent on variable X. That is‚ whenever X changes‚ Y also changes linearly. A linear relationship is a straight line relationship. In the form of an equation‚ this relationship can be expressed as Y = α + βX + e In this equation‚ Y is the dependent variable‚ and X is the independent variable. α is the intercept of the regression line‚ and β is the
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Online and Traditional Education Online and traditional education is very beneficial. They both serve a great purpose as far as helping one further their education‚ and wanting to get a great career. Traditional education has a lot more to offer‚ opposed to online courses. With traditional college you are able to get the full ride. You get the chance to get a full sports scholarship‚ or even a scholarship without having to play sports. As long as your grades are excellent all throughout your
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Background Is being physically strong still important in today’s workplace? In our current high-tech world one might be inclined to think that only skills required for computer work such as reading‚ reasoning‚ abstract thinking‚ etc. are important for performing well in many of today’s jobs. There are still‚ however‚ a number of very important jobs that require‚ in addition to cognitive skills‚ a significant amount of strength to be able to perform at a high level. Take‚ for example‚ the job
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How to Use a Data Spreadsheet: Excel One does not necessarily have special statistical software to perform statistical analyses. Microsoft Office Excel can be used to run statistical procedures. Although in some respects Excel is not as preferable for data analyses as IBM SPSS‚ it is very userfriendly with simpler statistical procedures. This appendix describes how to use Excel to execute basic statistical calculations. Data from the 2004 version of the General Social Survey (GSS) is used for
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and the number of construction permits issued at present. Example 2: The demand for new house or automobile is very much affected by the interest rates changed by banks. Regression analysis is one such causal method. It is not limited to locating the straight line of best fit. Types:- 1. Simple (or Bivariate) Regression Analysis: Deals with a Single independent variable that determines the value of a dependent variable. Ft+1 = f (x) t Where Ft+1: the forecast for the next period. This
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didn’t know what a spreadsheet was‚ etc. So I started at: http://en.wikipedia.org/wiki/Spreadsheet. I read that and got a good base of spreadsheets and the history. First of all‚ Microsoft Excel is the industry standard in spreadsheets (history on spreadsheets can be accessed at the above website address). With Excel‚ you can create a shared workbook and place it on a network location where several people can edit‚ change‚ and work on the contents of a workbook‚ I discovered. Therefore‚ if the people
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