Question 16 4 pts Suppose you estimate a regression as follows: foodexp; - a + B1 "income; + B2 people, where 'foodexp' is the annual number of dollars spent (in thousands), 'income' is annual household income (in thousands), and people is the number of household residents. Excel produces the following output . Variations in which variable(s) significantly determine variations in food expenditure? O Just income. O Just people. Both income and people. O Neither income nor people. D 1 SUMMARY OUTPUT 2 3 Regression Statistics 4 Multiple R 0.67042681 5 RSquare 0.449472108 6 Adjusted R Square 0.418013371 7 Standard Error 4.290899764 8 Observations 38 of IO ANOVA 11 12 Regression 13 Residual 34 Total 15 2 35 37 SS MS F Significance 526.0750633 263.0375317 14.28767187 2.90829E-05 644,3536564 18.41010447 1170.42872 26 17 Intercept 18 X Variable 1 19 X Variable 2 00 Coefficients Standard Error Stot p.volue Lower 95% Upper 95% Lower 95.0N Upper 90% 2.243233652 2.668783692 0.840545324 0.406308473 -3.174685245 7.661152549 3.174685 245 7.861152549 0.164455057 0.035402031 4.645356617 4.66028E-05 0.092585115 0.236325 0.092585115 0.236325 1.145061407 0.4144242052.763017681 0.009067219 0.303735547 1.906187266 0.303735547 1.986187266