SP2026 Statistical Studying Challenge III
• Predominant: This is no longer a neighborhood project. Please work independently.
• Data proj3data.csv The dataset is an extract from a spy of browsing mall customers in the San Francisco Bay dwelling (1987). It consists of 14 demographic attributes. The dataset contains both categorical and continuous variables with quite loads of missing recordsdata. The goal is to predict the Annual Income of Household from different 13 demographics attributes.
• Coaching recordsdata: the predominant 4497 observations.
• Testing recordsdata: the final 4496 observations.
• Attribute Data
1 ANNUAL INCOME OF HOUSEHOLD (PERSONAL INCOME IF SINGLE)
1. Lower than $10,000
2. $10,000 to $14,999
3. $15,000 to $19,999
4. $20,000 to $24,999
5. $25,000 to $29,999
6. $30,000 to $39,999
7. $40,000 to $49,999
8. $50,000 to $74,999
9. $75,000 or extra
2 SEX: 1=Male, 2=Feminine
3 MARITAL STATUS
1. Married
2. Residing collectively, no longer married
3. Divorced or separated
4. Widowed
5. Single, never married
4 AGE
1. 14 through 17
2. 18 through 24
3. 25 through 34
4. 35 through 44
5. Forty five through 54
6. 55 through 64
7. 65 and Over
5 EDUCATION
1. Grade 8 or less
2. Grades 9 to 11
3. Graduated excessive faculty
4. 1 to about a years of faculty
5. Faculty graduate
6. Grad Study about
6 OCCUPATION
1. Professional/Managerial
2. Sales Employee
3. Manufacturing facility Employee/Laborer/Driver
4. Clerical/Carrier Employee
5. Homemaker
6. Student, HS or Faculty
7. Protection drive
8. Retired
9. Unemployed
7 HOW LONG HAVE YOU LIVED IN THE SAN FRAN./OAKLAND/SAN JOSE AREA?
1. Lower than one twelve months
2. One to about a years
3. Four to six years
4. Seven to 10 years
5. Greater than ten years
8 DUAL INCOMES (IF MARRIED)
1. Now no longer Married
2. Yes
3. No
9 PERSONS IN YOUR HOUSEHOLD
1. One
2. Two
3. Three
4. Four
5. 5
6. Six
7. Seven
8. Eight
9. Nine or extra
10 PERSONS IN HOUSEHOLD UNDER 18
0. None
1. One
2. Two
3. Three
4. Four
5. 5
6. Six
7. Seven
8. Eight
9. Nine or extra
11 HOUSEHOLDER STATUS
1. Receive
2. Hire
3. Dwell with Fogeys/Household
12 TYPE OF HOME
1. Dwelling
2. Dwelling
3. House
4. Cell Dwelling
5. Assorted
13 ETHNIC CLASSIFICATION
1. American Indian
2. Asian
3. Dark
4. East Indian
5. Hispanic
6. Pacific Islander
7. White
8. Assorted
14 WHAT LANGUAGE IS SPOKEN MOST OFTEN IN YOUR HOME?
1. English
2. Spanish
3. Assorted
• Different of observations: 8993.
These are obtained from the distinctive dataset with 9409 cases, by placing off these observations with the response (Annual Income) missing.
• The missing price is NA.
• Strive your entire suggestions which are appropriate for the recordsdata residing contained in proj3data.csv.
Challenge File Structure:
• Please typeset your memoir using R Markdown in RStudio to originate a PDF file. Your memoir would per chance well calm occupy the next
– A title
– Summary
– Introduction
– Allotment(s) containing little print of your recordsdata evaluation, encompass easiest relevant R codes extinct for recordsdata evaluation, graphs and explanation of the suggestions you extinct, and a lot others. If random recordsdata had been generated you have to to specified a random seed so as that your outcomes would per chance also be repeated.
– Summary of Outcomes and Discussion which encompass a desk to summarize the test error rate of the fashions educated and gives the predicting approach to your final mannequin if that you just’ll be ready to guage.
• Limit your memoir within 20 pages. Only memoir the largest and relevant R code, graphs, and printout. Make your memoir neat, neat, readable, no longer adore draft. Web no longer encompass the recordsdata for your memoir.
• Predominant: The expend of AI tools or anything adore right here’s prohibited. Utilize easiest the R libraries and capabilities taught or mentioned in the lectures or the textbook or no credit ranking!
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