For the Florida data file (below) giving countywide data in Florida for several variables, a moderate positive correlation (r = 0.47) exists between crime rate and percent who are high school graduates. The percentage living in urban areas is also strongly correlated with crime rate (r = 0.68) and with high school graduation rate (r = 0.79).
a. Explain why the association between crime rate and high school graduation rate could disappear, or even change direction, when we control for percentage living in urban areas.
b. Under the control in (a), if the association disappears, which type of relationship is more plausible-- a spurious relationship or a chain relationship?
County | Crime | Income | HS | Urban |
ALACHUA | 104 | 22.1 | 82.7 | 73.2 |
BAKER | 20 | 25.8 | 64.1 | 21.5 |
BAY | 64 | 24.7 | 74.7 | 85 |
BRADFORD | 50 | 24.6 | 65 | 23.2 |
BREVARD | 64 | 30.5 | 82.3 | 91.9 |
BROWARD | 94 | 30.6 | 76.8 | 98.9 |
CALHOUN | 8 | 18.6 | 55.9 | 0 |
CHARLOTTE | 35 | 25.7 | 75.7 | 80.2 |
CITRUS | 27 | 21.3 | 68.6 | 31 |
CLAY | 41 | 34.9 | 81.2 | 65.8 |
COLLIER | 55 | 34 | 79 | 77.6 |
COLUMBIA | 69 | 22 | 69 | 31.1 |
DADE | 128 | 26.9 | 65 | 98.8 |
DESOTO | 69 | 21 | 54.5 | 44.6 |
DIXIE | 49 | 15.4 | 57.7 | 0 |
DUVAL | 97 | 28.5 | 76.9 | 98.8 |
ESCAMBIA | 70 | 25.2 | 76.2 | 85.9 |
FLAGLER | 34 | 28.6 | 78.7 | 63.1 |
FRANKLIN | 37 | 17.2 | 59.5 | 30.2 |
GADSDEN | 52 | 20 | 59.9 | 28.8 |
GILCHRIST | 15 | 20.6 | 63 | 0 |
GLADES | 62 | 20.7 | 57.4 | 0 |
GULF | 19 | 21.9 | 66.4 | 35.2 |
HAMILTON | 6 | 18.7 | 58.4 | 0 |
HARDEE | 57 | 22.1 | 54.8 | 16.7 |
HENDRY | 47 | 24.9 | 56.6 | 44.7 |
HERNANDO | 44 | 22.7 | 70.5 | 61.3 |
HIGHLANDS | 56 | 21.1 | 68.2 | 24.8 |
HILLSBOROUGH | 110 | 28.5 | 75.6 | 89.2 |
HOLMES | 5 | 17.2 | 57.1 | 16.8 |
INDIAN_RIVER | 58 | 29 | 76.5 | 83 |
JACKSON | 32 | 19.5 | 61.6 | 21.7 |
JEFFERSON | 36 | 21.8 | 64.1 | 22.3 |
LAFAYETTE | 0 | 20.7 | 58.2 | 0 |
LAKE | 42 | 23.4 | 70.6 | 43.2 |
LEE | 59 | 28.4 | 76.9 | 86.1 |
LEON | 107 | 27.3 | 84.9 | 82.5 |
LEVY | 45 | 18.8 | 62.8 | 0 |
LIBERTY | 8 | 22.3 | 56.7 | 0 |
MADISON | 26 | 18.2 | 56.5 | 20.3 |
MANATEE | 79 | 26 | 75.6 | 88.7 |
MARION | 64 | 22.5 | 69.6 | 39.6 |
MARTIN | 53 | 31.8 | 79.7 | 83.2 |
MONROE | 89 | 29.4 | 79.7 | 73.2 |
NASSAU | 42 | 30.2 | 71.2 | 44.9 |
OKALOOSA | 37 | 27.9 | 83.8 | 84 |
OKEECHOBEE | 51 | 21.4 | 59.1 | 30.1 |
ORANGE | 93 | 30.3 | 78.8 | 93.1 |
OSCEOLA | 78 | 27.3 | 73.7 | 66.4 |
PALM_BEACH | 90 | 32.5 | 78.8 | 94.7 |
PASCO | 42 | 21.5 | 66.9 | 67.4 |
PINELLAS | 70 | 26.3 | 78.1 | 99.6 |
POLK | 84 | 25.2 | 68 | 70.3 |
PUTNAM | 83 | 20.2 | 64.3 | 15.7 |
SANTA_R | 43 | 27.6 | 79.9 | 57.2 |
SARASOTA | 58 | 29.9 | 71.7 | 92.1 |
SEMINOLE | 56 | 35.6 | 78.5 | 44.4 |
ST_JOHNS | 54 | 29.9 | 81.3 | 93.2 |
ST_LUCIE | 58 | 27.7 | 84.6 | 92.8 |
SUMTER | 37 | 19.6 | 64.3 | 19.3 |
SUWANEE | 37 | 19.8 | 63.8 | 23.6 |
TAYLOR | 76 | 21.4 | 62.1 | 41.8 |
UNION | 6 | 22.8 | 67.7 | 0 |
VOLUSIA | 62 | 24.8 | 75.4 | 83.9 |
WAKULLA | 29 | 25 | 71.6 | 0 |
WALTON | 18 | 21.9 | 66.5 | 20.9 |
WASHINGTON | 21 | 18.3 | 60.9 | 22.9 |
For the Florida data file (below) giving countywide data in Florida for several variables, a moderate...
2. Using the data set of the Health Exam Results, conduct the following analysis between the variables of weight (WT) and Body Mass Index (BMI). Number the data set from 1 to 40, and select the following individuals: . Set 1 (Malo): 1, 5, 10, 13, 15, 18, 19, 24, 29, 31, 32, 33 .Set 2 (Fomalo): 4, 9, 15, 16, 17, 22, 23, 29, 33, 37, 38, 40 Draw a scatter diagram of the sample of 12 data set...
the way this is worded confuses me. Will there be one problem where male weight is x and female bmi is y. or is it two problems where x&y is male weight and bmi for the 1st problem, and x&y is female weight and bmi for problem 2? 2. Using the data set of the Health Exam Results, conduct the following of weight (WT) and Index (BMI). Number the data set from 1 to 40, and select the following individuals:...