You are interested in knowing the size of probation officers caseloads. You collect data and find...
- You are interested in knowing the size of probation officers caseloads. You collect data and find the following:
X1=21, X2=10, X3=300, X4=57, X5=124, X6=30
- How many probation officers are in the sample?
- What is the variable you are examining?
- How large is the caseload of the 5th probation officer?
- Calculate ∑X
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You are interested in knowing the size of probation officers
caseloads. You collect data and find...
3. Description of each X and data for 27 franchise stores are given below The data (X1, X2, X3, X4, X5, X6) are for each franchise store. X1 annual net sales/$1000 X2 number sq. ft/1000 X3 - inv...
3. Description of each X and data for 27 franchise stores are given below The data (X1, X2, X3, X4, X5, X6) are for each franchise store. X1 annual net sales/$1000 X2 number sq. ft/1000 X3 - inventory I$1000 X4- amount spent on advertising /$1000 X5 size of sales district/1000 families X6 number of competing stores in distric X1 X2 X3 X4 X5 X6 231 3 294 8.2 8.2 11 156 2.2 232 6.9 4.1 12 10 0.5 149 3...
Compute the correlation coefficient, r, for all five variables (columns). Interpret your findings whether you have determined any relationship between variables. X1 X2 X3 X4 X5 The data (X1, X...
Compute the correlation coefficient, r, for all five variables (columns). Interpret your findings whether you have determined any relationship between variables. X1 X2 X3 X4 X5 The data (X1, X2, X3, X4, X5) are by city. 8 78 284 9.1 109 X1 = death rate per 1000 residents 9.3 68 433 8.7 144 X2 = doctor availability per 100,000 residents 7.5 70 739 7.2 113 X3 = hospital availability per 100,000 residents 8.9 96 1792 8.9 97 X4 = annual...
Use SPSS for this exam, be sure to include all the following information to get full credits: (1) null and alternative hypotheses (15%) (2) nameofthe test(15%, explain why you chose it) (3) th...
Use SPSS for this exam, be sure to include all the following information to get full credits: (1) null and alternative hypotheses (15%) (2) nameofthe test(15%, explain why you chose it) (3) thetest statistic and its degree offreedom or ANOVAtable(if applicable) (30%! (4) p-value (15%), and (5) scientific conclusion (25%, using 0.05 significance). 1. Ostriches live in hot environments, and they are normally exposed to the sun for long periods Mammals in similar environments have special mechanisms for reducing the...
Census data was collected on the 50 states and Washington, D.C. We are interested in determining ...
Census data was collected on the 50 states and Washington, D.C. We are interested in determining whether average lifespan (LIFE) is related to the ratio of males to females in percent (MALE), birth rate per 1,000 people (BIRTH), divorce rate per 1,000 people (DIVO), number of hospital beds per 100,000 people (BEDS), percentage of population 25 years or older having completed 16 years of school (EDUC) and per capita income (INCO). A MLR model has LIFE (y) as the response...
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Y = listing priceX1 = interior floor space (square footage of the house)X2 = land size (square footage). This is usually represented by length of the front of the lot (in ft) X the depth of the lot (in ft). sizes range but a common lot size in Vancouver is 33 X 120. You will need to convert this to feet squared (area) before entering it into your spreadsheet (i.e., 3960)X3 = number of bedroomsX4 = number of bathroomsX5 =...
Data file: "STATE" "MALE" "BIRTH" "DIVO" "BEDS" "EDUC" "INCO" "LIFE" AK 119.1 24.8 5.6 603.3 14.1...
data file: "STATE" "MALE" "BIRTH" "DIVO" "BEDS" "EDUC" "INCO" "LIFE" AK 119.1 24.8 5.6 603.3 14.1 4638 69.31 AL 93.3 19.4 4.4 840.9 7.8 2892 69.05 AR 94.1 18.5 4.8 569.6 6.7 2791 70.66 AZ 96.8 21.2 7.2 536.0 12.6 3614 70.55 CA 96.8 18.2 5.7 649.5 13.4 4423 71.71 CO 97.5 18.8 4.7 717.7 14.9 3838 72.06 CT 94.2 16.7 1.9 791.6 13.7 4871 72.48 DC 86.8 20.1 3.0 1859.4 17.8 4644 65.71 DE 95.2 19.2 3.2 926.8 13.1...
3. Description of each X and data for 27 franchise stores are given below The data (X1, X2, X3, X4, X5, X6) are for each franchise store. X1 annual net sales/$1000 X2 number sq. ft/1000 X3 - inventory I$1000 X4- amount spent on advertising /$1000 X5 size of sales district/1000 families X6 number of competing stores in distric X1 X2 X3 X4 X5 X6 231 3 294 8.2 8.2 11 156 2.2 232 6.9 4.1 12 10 0.5 149 3...
Use SPSS for this exam, be sure to include all the following information to get full credits: (1) null and alternative hypotheses (15%) (2) nameofthe test(15%, explain why you chose it) (3) thetest statistic and its degree offreedom or ANOVAtable(if applicable) (30%! (4) p-value (15%), and (5) scientific conclusion (25%, using 0.05 significance). 1. Ostriches live in hot environments, and they are normally exposed to the sun for long periods Mammals in similar environments have special mechanisms for reducing the...
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