Please do a regression and show all work and calculations

DV: SS total(sum of all of the SS)

IV: Age, Wage, Living cost

the data set is very very long. about 10 pages. instead of attaching the whole thing, I gave the descriptive statistics

Descriptive Statistics Descriptive Statistics SS1 SS2 SS3 SS4 SS5 Valid Missing Mean Std. Deviation Minimum Maximum 800 0 0.285 0.452 0.000 1.000 800 0 0.280 0.449 0.000 1.000 800 0 0.725 0.447 0.000 1.000 800 0 0.555 0.497 0.000 1.000 800 0 0.475 0.500 0.000 1.000 Contingency Tables Contingency Tables SEX REGION suburban urban rural Total female Count Expected count 38.000 73.844 3.000 23.282 98.000 41.874 139.000 139.000 male 387.000 351.156 131.000 110.718 143.000 199.126 Count Expected count Count Expected count 661.000 661.000 Total 425.000 425.000 134.000 134.000 241.000 241.000 800.000 800.000 Chi-Squared Tests Value df 133.492 800 2 N <.001 descriptive statistics age wage livingco valid missing mean std. deviation minimum maximum contingency tables region suburban sex urban rural total female count expected male chi-squared tests value df ss1 ss2 ss3 ss4 ss5 n>