Multivariate Data Analysis (Short computational exercise) Essay

Multivariate Data Analysis (Short computational exercise) - strain ExampleThe coefficient of linear correlativity 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 little 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 hebdomad increases, as per the hypothesis.The multiple regressions shows the three plots for net weekly income, occupational stat us and the gender factor in a single regression model. The two variable linear regression on the other delve shows a single plot between the dependent and independent