Report Analysis Quantitative Methods In B&M Statistics Project

encompass Analysis Quantitative Methods In B&M - Statistics Project ExampleThus, the countries or rather the observations be listed in a single column randomly no alphabetical order is followed. Moreover, the four inconstants ar listed in four different columns in order to link a country with its specific numeral variable. Thus, the outlay of the data makes it easy to read, analyze, interpret and even draw comparisons among the observations.From the summary above, GDP is the only variable which has no mode. Moreover, it has a positive skewness which implies that the data is evenly distributed. For the Inflation tell and employment rate variables, the data is negatively skewed. This implies the data is unevenly distributed. Finally, the Unemployment Rate variable has a positive skewness, with the median slight than the mean. Thus, the data or rather the observations in this column are evenly distributed.From the above summary, the Gross national Product is dependent on Inflati on rate, Employment rate and Unemployment rate. Thus, the regression dumbfound that shows a alliance between the dependent and independent variables is as followsThus, inflation in a country alongside a high unemployment rate will definitely reduce the GDP. Moreover, placing all the variables at zero, the average GPD according to the model will be the Y- Intercept, for this case