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Regression analysis projectThe necessary transformation in this regression process is the binomial transformation using “mylogit” function. The most important variable in this case is c.vol, because the estimated volume of prostate cancer is the

2 Pages(500 words)Statistics Project

Econometric analysis projectVarious tests for goodness of fit were also conducted to determine the appropriateness of the model. The results show that there is indeed a positive linear relation between the homicide

5 Pages(1250 words)Statistics Project

Multiple Regression AnalysisUsing data from the Central Intelligence Agency and Excel for data analysis, the report identifies positive effects of labor force and imports and negative effects of foreign direct investments inflow and export on

3 Pages(750 words)Statistics Project

Econ Projecthe regression line cuts the vertical axis whereas the coefficients of the variable represents the slope of the regression line, the coefficient of price is – 22.49817 and this implies that for every increase of 1 in the x-axis the value on the y-axis will change by -22.49817.

1 Pages(250 words)Statistics Project

Projectb. The State-by-state unemployment rate data for year 2013 and year 2003 is collected from the U.S. Dept. of Labor, Bureau of Labor Statistics (BLS) web site (Last Modified Date: February 28, 2014).

3 Pages(750 words)Statistics Project

Multi line regressionconclusion which later are used to make rational decisions, clear things out or expand human knowledge and understanding of underlying phenomenon (Osborne & Waters, 2002). In this case, how a country engages in international trade through imports and exports is one area that

5 Pages(1250 words)Statistics Project

Regression AnalysisIn this work, the focus is to employ various aspects of regression and correlation analysis to be able to explore how imports and export ratios affect the GDP of the UAE.The GDP values will take the Y axis (Independent variable) while the other two variants, X1 and X2 will be used as the dependent variables.

3 Pages(750 words)Statistics Project

Statistical regressionThere are many social and economic indicators that describe the national growth of a country. Such variables are the unemployment rate, GDP, Inflation rates and disposable household expenditure to name a few.

3 Pages(750 words)Statistics Project

Statistics projectThe variables dealt in the data are: Sales per square metre which is referred by sales (also the target variable), Number of full timers which is referred by nfull, Number of part timers which is referred by npart, Total number of hours worked

6 Pages(1500 words)Statistics Project

Project reportThis suggests a weak positive linear relationship between sales per square metre and number of full- timers.
Figure 2 shows the scatterplot between sales per square metre and number of part-timers. As shown in figure 2, there

6 Pages(1500 words)Statistics Project

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