You are analyzing the relationships between variables in a study. The research deals with an industrial supply company who is trying to assess their relationships with customers. The variables are as follows: Turnover: Sales attributable to a client Satisfaction: Perceptual data gathered by survey Loyalty: Perceptual data gathered by survey Tenure: The length of the client relationship with the firm X3, X4: Unknown variables The following Pearson correlation matrix shows relationships between variables in the study: Turnover Satisfaction Loyalty X3 X4 Tenure Turnover 1 0.067166 0.209314 -0.2661 0.17867 0.232278 p-value 0.739 0.099 0.180 0..034 0.024 Satisfaction 0.067166 1 -0.174355 0.07627 0.38676 -0.01174 an ex-d 0.739 0.016 0.705 0.046 0.954 Loyalty 0.209314 -0.174355 1 0.02566 0.7521 -0.13907 p-value 0.099 0.016 0.899 0.001 0.489 X3 -0.26613 0.076267 0.025658 0.1 0.263069 p-value 0.180 0.705 0.899 0.620 0.185 X4 0.178674 0.386758 0.7521 0.1 1 0.123589 p-value 0.034 0.046 0.001 0.620 0.539 Tenure 0.232278 -0.011742 -0.139073 0.26307 0.12359 1 p-value 0.024 0.954 0.489 0.185 0.539 a) What are your impressions of the potential loyalty of the firm's clients? Comment on the relationships between the variables. Remember to use terms such as magnitude and significance Include variables X3 and X4. What could they be? Do they have any potential use in the study