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Darcie Warner, an analyst at the U.S. Census Bureau, is researching why the percentage of households without access to the internet varies by state. This

Darcie Warner, an analyst at the U.S. Census Bureau, is researching why the percentage

of households without access to the internet varies by state. This measure (NOINT) will

be the dependent variable in her empirical analysis. She has collected data on what she

believes are two relevant explanatory variables: the percentage of foreign-born residents

by state (PFORB) and the poverty rate by state (POVERTY). These are her independent

variables. Ms. Warner hypothesizes that states with higher percentages of foreign-born

residents are more urban and cosmopolitan; therefore, she expects this variable to be

negatively related to the dependent variable. In the case of poverty, Ms. Warner expects

to see a positive relationship between poverty rates and lack of household internet access.

Upon generating a regression equation with the data in the Excel spreadsheet, what can

Ms. Warner say about her hypotheses?

Question 5

NOINT PFORB POVERTY

25.82 3.121854233 13.37845169

11.36 6.993684795 6.15855946

16.54 14.02982332 11.58987872

29.13 4.161034107 14.75747308

15.81 26.91101245 10.60703041

17.32 9.684366261 8.88999537

18.05 13.06075569 6.679617756

20.92 8.364157709 7.082096485

20.07 18.79462092 10.74872107

20.11 9.363732247 12.69746171

21.43 17.31244663 7.501143811

15.88 6.316595733 9.915813642

20.15 13.48340707 9.913311527

25.27 4.379916716 10.73315818

20.55 3.861918968 7.664150367

15.22 6.075465446 8.981266469

27.98 2.966380343 14.38810208

25.06 3.383780684 13.25574741

18.28 3.334443348 8.325732749

16.75 12.81520869 6.133414961

16.18 14.30685604 6.975402956

19.19 6.159757434 11.57464384

16.56 6.789715194 7.035081647

28.57 2.016872652 17.31052032

21.79 3.555693619 10.91581761

24.26 1.9804326 9.930066966

17.46 5.910313911 8.419183957

15.67 19.16340186 8.971491658

13.65 5.168601249 5.549034001

17.14 20.20578244 6.9522028

23.23 9.753138698 13.58298453

20.7 21.38106107 10.81472332

23.47 7.091762354 11.90493923

20.13 2.388984052 6.584878479

21.56 3.754165531 11.13024029

22.7 5.148858844 12.12621103

13.82 9.598403621 9.848666199

21.87 5.483972849 8.610809329

20.16 12.67155902 8.569242837

25.62 4.497305778 12.86755734

19.03 2.679155029 9.036447772

27.8 4.219302461 13.10022218

19.77 16.08098796 13.42484437

9.9 7.833950783 7.816324769

16.48 3.303042975 7.302831697

20.16 10.22179258 7.464952219

11.63 12.16406483 8.071764094

27.13 1.270979906 13.86876141

16.85 4.528651366 8.22008445

15.65 3.143292851 6.312604995

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