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STATA: Using Stata and the GSS 2018 dataset, with homeownership (dwelown) to the independent variable, social class (class). Use the textbook convention of putting the

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  1. STATA: Using Stata and theGSS 2018 dataset, with homeownership (dwelown) to the independent variable, social class (class). Use the textbook convention of putting the dependent variable in the rows. The second tables reflect Controlling for race (race). Answer the following:
    1. Describe the bivariate relationship in the contingency table.
    2. Describe what the inclusion of the control variable shows.
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tab dwelown class, row Key frequency row percentage does r own or | subjective class identification rent home? | lower cla working c middle cl upper cla | Total own or is buying 59 334 498 44 935 6.31 35.72 53.26 4.71 100.00 pays rent 84 309 186 585 14.36 52.82 31.79 1.03 100.00 other 16 9 2 25 16.80 40.30 36.60 8.60 100.00 Total 147 693 52 1, 545 9.51 42.27 44 .85 3.37 100.00 bysort race: tab dwelown class, row -> race . white Key frequency row percentage does r own or subjective class identification rent home? | ] lower cla working c middle cl upper cla | Total own or is buying 45 244 421 40 750 6.80 32.53 56.13 5.33 100.00 pays rent 47 181 113 5 346 13.58 52.31 32.66 1.45 100.00 other 1 19 15.79 42.11 36.84 5.26 100.00 Total 95 433 541 46 1, 115 8.52 38.83 48 .52 4.13 100.60 -> race = blackKey frequency row percentage does r own or | subjective class identification rent home? | lower cla working c middle cl upper cla | Total own or is buying 48 45 3 101 4.95 47.52 44.55 2.97 100.00 pays rent 28 71 44 143 19.58 49.65 30.77 0.60 106.06 other 3 33.33 66.67 0.00 106.00 Total 34 119 91 247 13.77 48.18 36.84 1. 21 100.00 -> race . other Key frequency row percentage does r own or | subjective class identification rent home? | lower cla working c middle cl upper cla | Total own or is buying 42 3.2 1 84 10.71 50.08 38.10 1.19 180.80 pays rent 57 29 1 96 9.38 59.38 30.21 1.64 100.06 other 1 3 0.80 66.67 33.33 100.00 Total 18 101 61 EBT 9.84 55.19 33.33 1.64 | 100.00

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