Report Analysis Quantitative Methods In B&M Statistics Project

Report Analysis Quantitative Methods In B&M - Statistics Project Example Thus, the countries or rather the observations are listed in a single column randomly; no alphabetical order is followed. Moreover, the four variables are listed in four different columns in order to link a country with its specific numeric 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 rate 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 less than the mean. Thus, the data or rather the observations in this column are evenly distributed. From the above summary, the Gross Domestic Product is dependent on Inflation rate, Employment rate and Unemployment rate. Thus, the regression model that shows a relationship between the dependent and independent variables is as follows: Thus, 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