Question
Data Set State Hospitalizations per million Vaccinations per 1000 Population Density Alabama 100.639263 165.2914332 96.9221 Alaska 44.95900556 306.9187822 1.2863 Arizona 130.5144383 207.9908176 64.955 Arkansas 110.2336658
Data Set
State | Hospitalizations per million | Vaccinations per 1000 | Population Density |
Alabama | 100.639263 | 165.2914332 | 96.9221 |
Alaska | 44.95900556 | 306.9187822 | 1.2863 |
Arizona | 130.5144383 | 207.9908176 | 64.955 |
Arkansas | 110.2336658 | 211.3676247 | 58.403 |
California | 107.4429091 | 189.5271383 | 256.3727 |
Colorado | 55.76914721 | 190.6155237 | 56.4011 |
Connecticut | 120.1208955 | 229.3593431 | 735.8689 |
Delaware | 105.809878 | 181.5087064 | 504.3073 |
Florida | 150.3661281 | 192.0937062 | 410.1256 |
Georgia | 187.0332494 | 174.5912536 | 186.6719 |
Hawaii | 19.11251395 | 235.7471967 | 219.9419 |
Idaho | 82.13975148 | 183.028175 | 22.0969 |
Illinois | 90.1286462 | 181.2461798 | 228.0243 |
Indiana | 97.25212346 | 193.9234027 | 188.281 |
Iowa | 52.51821706 | 180.8328006 | 56.9284 |
Kansas | 80.74610778 | 169.4173601 | 35.5968 |
Kentucky | 124.0084877 | 182.5384937 | 113.9566 |
Louisiana | 114.5272179 | 186.6401848 | 107.5175 |
Maine | 49.78488471 | 195.9325006 | 43.6336 |
Maryland | 134.4705575 | 184.3948069 | 626.6731 |
Massachusetts | 95.31867757 | 205.2246962 | 894.4355 |
Michigan | 86.2117969 | 203.3182781 | 177.6655 |
Minnesota | 39.29362 | 194.0585591 | 71.5922 |
Mississippi | 140.1684698 | 173.5727237 | 63.7056 |
Missouri | 154.7995144 | 168.8449363 | 89.7453 |
Montana | 57.97053441 | 203.4259666 | 7.4668 |
Nebraska | 70.16393778 | 186.5628377 | 25.4161 |
Nevada | 127.0839053 | 185.7523972 | 28.5993 |
New Hampshire | 49.58993499 | 185.1958 | 153.1605 |
New Jersey | 200.5242725 | 196.0679786 | 1215.1991 |
New Mexico | 80.60515873 | 278.6243704 | 17.285 |
North Carolina | 111.1020856 | 201.9419401 | 218.2702 |
North Dakota | 30.19470332 | 231.0170495 | 11.0393 |
Ohio | 69.80093285 | 180.1016438 | 287.5038 |
Oklahoma | 87.48815686 | 218.3883923 | 57.6547 |
Oregon | 36.73488272 | 195.5400132 | 44.8086 |
Pennsylvania | 123.7824742 | 178.0716578 | 286.5449 |
Rhode Island | 133.5023732 | 186.0748503 | 1021.4323 |
South Carolina | 111.1304112 | 186.1476614 | 173.3174 |
South Dakota | 79.73183526 | 234.5666298 | 11.9116 |
Tennessee | 123.3766761 | 146.9152351 | 167.2748 |
Texas | 160.1843358 | 149.8316639 | 112.8204 |
Utah | 64.592496 | 178.1991186 | 39.943 |
Vermont | 49.35826297 | 210.0385154 | 68.1416 |
Virginia | 130.6483835 | 202.821124 | 218.4403 |
Washington | 55.27699739 | 183.2402965 | 117.3272 |
West Virginia | 100.6709522 | 233.5672949 | 73.9691 |
Wisconsin | 42.55134443 | 208.4961193 | 108.0497 |
Wyoming | 37.03540408 | 232.6987346 | 5.84 |
1. You estimate a regression with coronavirus hospitalizations per million people as the dependent variable and vaccinations per 1000 people as the only independent variable. What is your estimated slope from this regression?
Round to four decimal places.
is -0.419, correct?
2. You estimate a regression with coronavirus hospitalizations per million people as the dependent variable and vaccinations per 1000 people as the only independent variable. Is your estimated slope from this regression statistically significant at the 5% significance level?
Group of answer choices
is yes, correct?
3. You estimate a regression with coronavirus hospitalizations per million people as the dependent variable and vaccinations per 1000 people as the only independent variable. According to the regression results, approximately what proportion of the variation in coronavirus hospitalizations per million people across states can be explained by variation in vaccinations per 1000 people across states?
is 15%, correct?
4. Now you add population density by state as a second independent variable to your regression. So you run a regression with coronavirus hospitalizations per million people as the dependent variable, and both vaccinations per 1000 people and population density as independent variables.
What is the effect of vaccinations per 1000 people on coronavirus hospitalizations per million people holding population density constant?
Use conventional levels of significance (1%, 5%, and 10%) when determining your answer.
is Positive and statistically significant, correct?
5. How muchmoreof the variation in coronavirus hospitalizations per million can be explained after adding population density as an additional independent variable to your regression?
Group of answer choices
is 35%, correct?
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