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Spss work and analysis So the total entries for each variable is 16x4=64. The data is analysed through SPSS 16.0. It is expected that the unemployment is having a close relationship with real GDP, net Export, Investment and Consumption. So our objective of the study is to extract how these independent variables (real GDP, net Export, Investment and Consumption) have influence over unemployment.

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Data Analysis Data for unemployed persons was obtained from the Annual Population Survey (APS). The APS is conducted annually during which information on the number and percentage of people who are employed, economically active, unemployment rate and economically inactive is collected.

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Statistics 401 Mod 5 Case - Multiple Regression Analysis38.1 16832.4 9.216641 7.03E-06 117060.6 193215.7 117060.6 193215.7 Interest Rate -1203318 141354.8 -8.51275 1.34E-05 -1523085 -883552 -1523085 -883552 Price Per Board Foot -17836.8 9105.462 -1.95891 0.081788 -38434.7 2761.226 -38434.7 2761.226 Multiple regression analysis is a data analysis procedure which is used to establish the relationship between a given variable and a set of other two variables.

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Multiple RatersInterviews may be carried out on job colleagues to provide ratings on the individuals job performances. The raters should be chosen from various departments to ensure validity in the answers being provided (Fisher, Weiss and Dawis, 1968). For example,

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Multiple regression exerciseTo determine the relationship, we conducted a multiple regression test and the results are shown in the preceding sections below;
The above table gives the summary statistics from the regression output. The value of R2 is given as 0.448 which means that

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Principles of EconometricsLet’s again use the property that (and of course this also means that ). We apply these facts to Equation (3) and solve for . This gives,
Random assignment of participants in experiments or treatment and control groups help to ensure

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Solve a regression problem using SPSSFigure 1 below shows R Squared = 0.965 (96.6%).
However, ‘Adjusted R Square” is a robust diagnostic tool for multiple regressions since it takes into consideration the sample size and the explanatory variables. Since our

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Statistical courseworkIn this study these variables will be explored and the correlation between the dependent variable, and the independent variables.
The dependent variable, market return is defined to be the amount of

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Applied statistics for finance and economicsIt also investigates if the data is randomly disbursed a side from inspecting whether the log stock series and S&P 500 index are normally distributed and whether there is any trace of volatility in the data.
The world is currently experiencing banking problems, and

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Statistics for managers class discussion wk9Afterward, they conducted a logistic regression analysis that included the lifestyle, preferences, and behavior of customers as the criterion variables. The aim of the regression analysis was to find a line of best fit that would indicate

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