For the below SPSS, analysis results (tables 14, 15), interpret and comment on the results (the significance of the variables, how strong the model is, and the main tests in the results....) Table 14. The regression model parameters: criterion student satisfaction Sum of Mean Significance Adjusted Degree of freedom F R R2 squares square level R2 Regression 103541.8 895 0953.763 261.003 .000 820 .673 -670 Table 15. Marketing mix instruments as predictors of student satisfaction Predictors B SE Beta t - test p value Service 270 039 .216 6.900 .000 Price 045 026 051 1.776 .076 Distribution 122 034 .098 3.565 .000 Promotion .006 021 .008 .296 .767 Human factor .215 039 .195 5.556 .000 Physical evidence .125 029 .129 4.300 .000 Service process .287 043 .262 6.600 .000