what is a constant contribution margin? how can I tell that there is a constant contribution margin based on a scatterplot or regression line?? is it when y-intercept = 0?

what if the scatterplot doesn't show that the y-intercept is 0, but you do a hypothesis test on the y-intercept and it shows that we fail to reject the null that y-intercept = 0?

can you let me know if there is a constant contribution margin based on this info please?

null hypothesis: y-intercept = 0

Purchase Revenue vs Purchase Cost 45,00 40.00 35.00 30.00 Purchase Cost 25.00 . . 20.00 15.00 10.00 20.00 25.00 30.00 35.00 40.00 45.00 50.00 55.00 Purchase Revenue Coefficients 0.02768491 0.73260348 Standard Error t Stat P-value 1.273742738 0.02173509 0.98273388 0.036435912 20.1066323 8.011E-28 Lower 95% -2.521988201 0.659669081 Upper 95% Lower 95.0% Upper 95.0% 2.57735802 -2.5219882 2.57735802 0.80553789 0.65966908 0.80553789 6 7 Intercept 8 Purchase Revenue 9 0 1 2 3 4 5 6 reject the null if p-value is less than 0.05 alpha fail to reject the null if p-value is greater than 0.05 alpha the p-value (0.98) is greater than alpha (0.05) resulting in a failure to reject the null. meaning that y-intercept is equal to 0. Purchase Revenue vs Purchase Cost 45,00 40.00 35.00 30.00 Purchase Cost 25.00 . . 20.00 15.00 10.00 20.00 25.00 30.00 35.00 40.00 45.00 50.00 55.00 Purchase Revenue Coefficients 0.02768491 0.73260348 Standard Error t Stat P-value 1.273742738 0.02173509 0.98273388 0.036435912 20.1066323 8.011E-28 Lower 95% -2.521988201 0.659669081 Upper 95% Lower 95.0% Upper 95.0% 2.57735802 -2.5219882 2.57735802 0.80553789 0.65966908 0.80553789 6 7 Intercept 8 Purchase Revenue 9 0 1 2 3 4 5 6 reject the null if p-value is less than 0.05 alpha fail to reject the null if p-value is greater than 0.05 alpha the p-value (0.98) is greater than alpha (0.05) resulting in a failure to reject the null. meaning that y-intercept is equal to 0