The American Community Survey of New York data describe a family’s economic, housing, and demographic information such as yearly incomes, family type (married, female head

 

The American Community Survey of New York data describe a family's economic, housing, and demographic information such as yearly incomes, family type (married, female head, male head, etc), number of people, number of children, if the family is living on FoodStamp (1=Yes, 0=No), number of people who are currently employed, etc. Use this data set to answer the following questions:

Questions:
1. Choose an appropriate model to determine if there is family income (i.e., FamilyIncome in the data set) difference among different types of families (i.e., FamilyType in the data set) in the state of New York?

2. Choose an appropriate model to determine if there is family income (FamilyIncome) difference between families with kids and families without kids? (Note: There is currently no column holding data about whether a family has kids. You may want to use the with() function in R to create a new column to hold the binary answers.)

Click Here for How to Use the with() Function.

3. Choose an appropriate model, and use FamilyIncome, NumChildren, NumPeople, NumWorkers to predict the probability that a family is living on FoodStamp.

(Note: please ignore the warning message such as glm.fit: fitted probabilities numerically 0 or 1 occurred if you see one)

Please save the screenshots of the data analysis results and your interpretations of the results into a Word document, and name it as "MyAssignment1". Thank you!

 

Collepals.com Plagiarism Free Papers

Are you looking for custom essay writing service or even dissertation writing services? Just request for our write my paper service, and we'll match you with the best essay writer in your subject! With an exceptional team of professional academic experts in a wide range of subjects, we can guarantee you an unrivaled quality of custom-written papers.

Get ZERO PLAGIARISM, HUMAN WRITTEN ESSAYS

Why Hire Collepals.com writers to do your paper?

Quality- We are experienced and have access to ample research materials.

We write plagiarism Free Content

Confidential- We never share or sell your personal information to third parties.

Support-Chat with us today! We are always waiting to answer all your questions.

Related Posts

All Rights Reserved Terms and Conditions
College pals.com Privacy Policy 2010-2018

Acres FamilyIncome FamilyType NumBedrooms NumChildren NumPeople NumRooms NumUnits NumVehicles NumWorkers OwnRent YearBuilt HouseCosts ElectricBill HeatingFuel Insurance Language FoodStamp
10-Jan 150 Married 4 1 3 9 Single detached 1 0 Mortgage 1950-1959 1800 90 Gas 2500 English 0
10-Jan 180 Female Head 3 2 4 6 Single detached 2 0 Rented Before 1939 850 90 Oil 0 English 0
10-Jan 280 Female Head 4 0 2 8 Single detached 3 1 Mortgage 2000-2004 2600 260 Oil 6600 Other European 0
10-Jan 330 Female Head 2 1 2 4 Single detached 1 0 Rented 1950-1959 1800 140 Oil 0 English 0
10-Jan 330 Male Head 3 1 2 5 Single attached 1 0 Mortgage Before 1939 860 150 Gas 660 Spanish 0
10-Jan 480 Male Head 0 3 4 1 Single detached 0 0 Rented Before 1939 700 140 Gas 0 English 0
10-Jan 520 Male Head 3 2 3 8 Mobile home 0 0 Mortgage 1980-1989 270 130 Wood 100 English 1
10-Jan 550 Male Head 3 1 2 5 Single detached 1 1 Rented 2007 800 1 Gas 0 English 1
10-Jan 1400 Female Head 3 1 4 9 Single detached 2 1 Mortgage Before 1939 710 150 Gas 1000 English 0
10-Jan 1400 Female Head 3 2 3 7 Single detached 1 1 Mortgage 1980-1989 1500 300 Electricity 0 English 0
10-Jan 1730 Married 5 0 2 8 Single detached 3 0 Mortgage 2000-2004 1500 170 Gas 600 English 0
10-Jan 1800 Female Head 3 3 6 6 Single attached 1 0 Rented Before 1939 500 150 Electricity 0 English 1
10-Jan 1850 Female Head 3 2 4 7 Single detached 3 1 Rented 1970-1979 500 170 Electricity 0 English 1
10-Jan 2000 Married 3 0 3 6 Single detached 2 1 Mortgage 1970-1979 2200 170 Oil 750 English 0
10-Jan 2000 Married 5 6 8 8 Single detached 0 1 Mortgage 2000-2004 900 2 Wood 0 Other European 0
10-Jan 2600 Male Head 3 3 4 5 Single detached 1 0 Mortgage 1980-1989 1300 110 Gas 600 Other European 1
10-Jan 2730 Married 4 0 4 9 Single detached 4 2 Mortgage 1950-1959 530 140 Oil 750 Spanish 0
10-Jan 3430 Married 4 0 4 7 Single detached 1 0 Mortgage Before 1939 580 160 Oil 600 Other European 0
10-Jan 3500 Married 2 0 2 4 Mobile home 3 1 Mortgage 2000-2004 500 110 Oil 460 English 0
10-Jan 3580 Female Head 3 2 3 4 Single detached 1 1 Mortgage 2000-2004 200 80 Gas 400 English 0
10-Jan 3600 Female Head 3 2 6 6 Single detached 2 0 Rented 1980-1989 500 240 Oil 0 English 1
10-Jan 3660 Female Head 2 0 2 6 Single detached 2 0 Mortgage 1940-1949 550 130 Wood 640 English 1
10-Jan 3700 Female Head 2 1 3 6 Single detached 2 1 Rented 1950-1959 600 80 Gas 0 English 0
10-Jan 4000 Married 2 0 2 6 Single detached 2 1 Mortgage 1970-1979 680 100 Oil 700 English 0
10-Jan 4400 Female Head 3 2 3 5 Single detached 0 1 Rented Before 1939 1200 120 Gas 0 Spanish 0
10-Jan 4500 Female Head 3 1 2 9 Single detached 1 0 Mortgage 1980-1989 1500 200 Oil 600 English 0
10-Jan 4550 Female Head 2 1 2 5 Single detached 0 1 Rented 1950-1959 1400 100 Gas 0 Spanish 0
10-Jan 4970 Female Head 3 1 3 7 Single detached 1 1 Rented 1940-1949 400 70 Gas 0 English 1
10-Jan 5000 Female Head 4 0 2 6 Single detached 1 0 Mortgage 1980-1989 800 200 Gas 500 Other European 0
10-Jan 5000 Female Head 4 1 3 8 Single detached 3 1 Mortgage 1990-1999 1600 280 Oil 1000 English 0
10-Jan 5140 Female Head 2 1 3 3 Mobile home 1 1 Rented 1970-1979 400 80 Oil 0 English 0
10-Jan 5200 Female Head 2 3 4 4 Single attached 1 1 Rented 1960-1969 1000 120 Gas 0 Other 1
10-Jan 5500 Female Head 2 2 3 3 Single detached 1 0 Rented 2000-2004 500 50 Oil 0 English 1
10-Jan 5500 Married 3 3 5 5 Single detached 2 1 Rented 1970-1979 450 60 Wood 0 English 1
10-Jan 5610 Female Head 3 0 2 7 Mobile home 1 1 Mortgage 1990-1999 200 140 Gas 400 English 0
10-Jan 5700 Female Head 4 2 5 6 Single detached 0 0 Rented 1960-1969 830 80 Gas 0 English 1
10-Jan 5800 Married 3 0 2 6 Single detached 2 0 Mortgage 1950-1959 900 400 Electricity 2000 English 0
10-Jan 6180 Married 4 0 2 8 Single detached 3 1 Mortgage 2000-2004 440 160 Oil 880 Other European 0
10-Jan 6300 Married 3 2 4 6 Single detached 2 0 Rented 1960-1969 950 160 Oil 0 English 0
10-Jan 6750 Female Head 4 0 4 7 Single detached 3 0 Rented Before 1939 500 60 Oil 0 English 1
10-Jan 6800 Female Head 3 2 5 6 Single detached 2 0 Rented Before 1939 600 150 Oil 0 English 1
10-Jan 6990 Married 5 7 9 7 Mobile home 1 0 Rented 1970-1979 500 400 Oil 0 English 1
10-Jan 7000 Female Head 3 0 3 7 Mobile home 1 1 Rented 1980-1989 800 200 Oil 0 English 0
10-Jan 7000 Married 3 3 6 5 Single detached 2 1 Mortgage 1990-1999 1400 300 Other 1700 Spanish 0
10-Jan 7200 Female Head 5 0 3 9 Single detached 3 0 Mortgage 1990-1999 530 270 Oil 2600 English 0
10-Jan 7200 Married 5 0 2 11 Single detached 1 0 Rented 1940-1949 300 40 Oil 0 English 0
10-Jan 7600 Male Head 4 0 2 7 Single detached 2 0 Mortgage Before 1939 470 230 Gas 640 English 0
10-Jan 8000 Female Head 3 2 4 8 Single detached 2 1 Mortgage 1980-1989 200 170 Wood 120 English 1
10-Jan 8000 Male Head 4 1 3 9 Single detached 4 1 Mortgage Before 1939 890 100 Coal 450 English 0
10-Jan 8400 Female Head 2 1 2 4 Single detached 0 0 Rented 1940-1949 1300 170 Electricity 0 Spanish 1
10-Jan 8400 Female Head 3 1 2 5 Mobile home 1 0 Rented 1980-1989 400 100 Gas 0 English 1
10-Jan 8600 Male Head 4 1 4 7 Single detached 2 1 Rented 1940-1949 550 180 Gas 0 English 1
10-Jan 8700 Married 5 3 5 10 Mobile home 3 1 Mortgage 1990-1999 330 280 Gas 0 English 0
10-Jan 8800 Female Head 3 0 2 5 Single attached 0