Consider the monthly rent (Rent in $) of a home in Ann Arbor, Michigan, as a function of the number of bedrooms (Beds)the number of bathrooms (Baths) and square footage (Sqft) Daicture Click here for the Excel Data File a. Estimate tento + BBeds 3 Baths. 635qft (Round your answers to 2 decimal places.) Rent Bed - Bath + Soft b-1. Which of the predictor variables is most likely to be the cause of changing variability? O Beds because it is likely correlated with Rent Boths because its distribution tends to be highly skewed. Sqft because the variability of rent tends to increase with square footage b-2. Discuss the consequences of changing variability (heteroskedasticity) OOLS estimators and their standard errors are both blesed OOLS estimators are based but their standard errors are unbiased, O OLS estimators are unbiased but their standard errors are based E 1 2 1 3 4 760 5 6 7 8 9 10 11 12 13 14 Nam - 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 A B Rent Beds Baths 645 1 1 675 1 1 1 1 800 1 1 820 1 1 850 2 1 855 1 1 859 1 1 900 1 1.5 905 2 1 905 2 1 929 2 1 960 2 1 975 2 2 990 1 1.5 995 2 1 1029 2 2 1039 2 2 1049 2 2 1050 2 2 1084 2 2 1100 2 1 1100 2 2 1185 2 2 1245 3 2 1275 2 2 1275 3 2 1400 3 1 1450 2 2 1500 3 2 1518 3 3 1600 3 1 1635 3 3 1635 3 3 1650 3 1.5 16 Ann Arbor Rental D Soft 500 648 700 903 817 920 900 886 1000 920 876 920 975 1100 940 1000 1299 1164 1180 1162 1163 1020 1150 1225 1368 1400 1350 1185 1200 1412 1700 1440 1460 1460 1170 Ready B D E F 2 N N 2 20 21 22 23 24 25 2 2 2. 2 2 2 1 2 2 3 2 2 3 2 2 2 2 3 2 1 3 A 1049 1050 1084 1100 1100 1185 1245 1275 1275 1400 1450 1500 1518 1600 1635 1635 1650 1750 1950 1975 2200 2400 N D 1180 1162 1163 1020 1150 1225 1368 1400 1350 1185 1200 1412 1700 1440 1460 1460 1170 1944 2265 1700 4319 2700 2 3 3 w N 2 2 3 1 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 3 3 3 3 3 3 4 3 5 3 3 1.5 1.5 2.5 4 4 2.5