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Capital Budgeting Statistics Project All these decisions involve huge investment, the benefits of which will be seen only in the long-term and these decisions are also irreversible in nature.
By nature of these projects, long-term sources of funds become the best suited means of financing.

21 Pages(5250 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

Business stat projectThe discussion is based on the hypothesis that Cadillac has retained control of the segment of older men and has lost the other segment to its competitors and that this is

2 Pages(500 words)Statistics Project

Statistic projectThe results of processing nominal data are the following. 62.5 % of classmates are female and 37.5 % are male persons. Most of the classmates prefer to eat at the restaurants of

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

Statistics projectPradhan, Bele & Pandey (2013) establishes that the telecommunication sector is a vital component of any economy. Through the growth

5 Pages(1250 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

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

Regression analysis projectThe most important assumption for the OLS model is that the dat set need to follow a normal distribution. We therefore had to check whether our data set followed a normal distribution. It is clear that the data seems to come from a

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