Multivariate Data Analysis (Short computational exercise) Essay

Multivariate Data Analysis (Short computational exercise) - Essay Example The coefficient of linear correlation was found to be -0.154. From the frequency descriptions, the number that is willing to give at least  £75 is 39.7%. The hypothesis therefore, scores 39.7% positive response. The remaining percentage (60.3%) is the score for the willingness to pay less than  £75. There is a positive linear correlation coefficient of 0.394. This indicates that the gender group positively influences the willingness to pay is positively influenced by the gender. It therefore leads to a conclusion that females are willing to pay more than the males. This is against the hypothesis. The coefficient of linear correlation between the two variables is 0.492. This is a strong positive linear correlation, indicating that the willingness to pay increases as the net income per week increases, as per the hypothesis. The multiple regressions shows the three plots for net weekly income, occupational status and the gender factor in a single regression model. The two variable linear regression on the other hand shows a single plot between the dependent and independent