Alconomics. Alcohol consumption in US and Russia Essay

Alconomics. Alcohol consumption in US and Russia - Essay Example Correlation analysis is used to establish whether there is a linear relationship between the variables income (independent) and level of consumption, measured in pints of alcohol for the preceding month (dependent variable). We realize that there is significant positive correlation between the amount of money an individual earns and their tendency to increase alcohol intake, at 1% level of significance. Therefore the richer a Russian is (owing to their immediate income), the greater their tendency to take more alcohol. There is weak positive correlation between the income of an individual and the severity of their alcoholism tendencies. However, the correlation between the variables is not significant at 1% level of significance. This means there is a weak positive relationship between the earnings of an individual and their alcohol consumption rate in the USA. Next we test whether age is a strong determinant (or a determinant at all) of the level of alcohol consumption among individuals. This is tested using regression analysis. The dependent variable is level of consumption (number of pints) while the independent variable is the age of the respondent. Only 2.2% of the variation observed in the dependent variable (age of respondent) is explained by the independent variable (amount of alcohol). Therefore age is not a valuable predictor of the amount of alcohol consumed by the Russian population, when the results are generalized to cover the whole population represented by the sample. Next the study takes a predictive dimension, trying to ascertain what we would expect to see in the levels of alcoholism between the two countries. To do this we assume that on average, the respondents are not sure whether they will stop alcoholism at all. The Wilcoxon signed-rank test is used to test any deviations of the overall response from this pre-determined score (assumed median