Using AIU’s survey responses from the AIU data set, complete the following requirements in the form of a 3-page report: TEST #1: Regression Analysis- Benefits & Intrinsic Perform the following Regression Analysis, using a .05 significance level Run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable. Copy and paste the
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#1: Regression Analysis- Benefits & Intrinsic Perform the following Regression Analysis, using a .05 significance level •Run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable. ◦Copy and paste the results of the output to your report in Microsoft Word. •Create a graph with the trendline displayed the 3 regression. ◦Copy
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Ford Mustang Statistical Report To: Tom Jones, Director of Sales From: Statistician Date: 10/17/2010 Subject: Analysis of factors affecting selling price of Ford Mustangs Per your request, I am providing a statistical analysis of the factors affecting the selling price of Ford Mustangs. There are nine (9) variables that affect the selling price of Ford Mustangs. They are: Convertible or not Convertible, automatic or manual transmission, air conditioning or no air conditioning, GT model
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DATA ANALYSIS TAKE-HOME EXAM Introduction This report provides an insight into the investment behavior of 50 couples. Using different statistical methods and observing the trend followed by the effect of various independent variables on a single independent variable , a conclusion will be reached. The following are the main tools used for analysis of investment behavior of 50 couples who are selected from a sample size of 194 couples. 1. Descriptive statistics 2.Histograms 3.Pivot tables
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Help Sheet for Reading SPSS Printouts Heather Walen-Frederick, Ph.D. This document will give you annotated SPSS output for the following statistics: 1. Correlation 2. Regression 3. Paired Samples t-test 4. Independent Samples t-test 5. ANOVA 6. Chi Square Note that the version of SPSS used for this handout was 13.0 (Basic). Therefore, if you have advanced add-ons, or a more recent version there may be some slight differences, but the bulk should be the
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ECONOMETRIC ANALYSIS. INDEX: - Introduction..................................................................................3 -Background....................................................................................8 -Empirical Analysis.........................................................................9 -Conclusion.....................................................................................31 -Bibliography.............................................................
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5. A consumer organization wants to develop a regression model to predict mileage (as measured by miles per gallon) based on the horsepower of the car’s engine and the weight of the car (in pounds). Data were collected from a sample of 50 recent car models, and the results are organized and stored in the attached spreadsheet Auto. | |Coefficients |Standard Error |t Stat |P-value | |Intercept |58.15708245 |2.658248208
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to Second Edition This text is divided into three parts. Part I deals with applied research design and statistical methodology frequently occurring in test anxiety literature. Part II focuses on theories and methods of assessing test anxiety using standardized instruments. Part III extensively describes and provides treatment scripts for test anxiety. In addition to advanced undergraduate and graduate students in the social sciences, this text is designed to attract two audiences—the quantitatively
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the time limit is reached, you will be exited from the exam. * Please also note that during the exam time, the copy/paste and printing functions are disabled. * 1. (TCO A) At an outpatient testing center, a sample of 20 days showed the following number of cardiograms done each day. * 25 31 20 32 13 14 43 2 57 23 36 32 33 32 44 32 52 44
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moderate, weak) o Relationships should be assessed in this order How to Analyze Relationships 1. Choose variables to analyze 2. Determine if the variables are interval/ratio or nominal/ordinal 3. Use the correct relationship analysis a. For two interval/ratio variables – use correlation b. For two nominal/ordinal variables – use cross-tabs 4. Does a relationship exist? 5. If relationship exists, determine the direction a. Monotonic will be increasing/decreasing
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