Question: 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?

NOINT PFORB POVERTY 25.82 3.121854233 13.37845169 11.36 6.993684795 6.15855946 16.54 14.02982332 11.58987872 29.13 4.161

16.18 14.30685604 6.975402956 19.19 6.159757434 11.57464384 16.56 6.789715194 7.035081647 28.57 2.016872652 17.31052032

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

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