Variable Number 2 3 567890 10 123 11 .... Variable Name Identification number Sales price Finished...

  

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Variable Number 2 3 567890 10 123 11 .... Variable Name Identification number Sales price Finished square feet Number of bedrooms Number of bathrooms Air conditioning Garage size Pool Year built Quality 1 2 360000 1 2 340000 3 250000 The city tax assessor was interested in predicting residential home sales prices in a mid- western city as a function of various characteristics of the home and surrounding property. Data on 522 arms-length transactions were obtained for home sales during the year 2002. Each line of the data set has an identification number and provides information on 12 other variables. The 13 variables are: Style Lot size Adjacent to highway 520 521 124000 522 95500 3032 2058 1780 .... 133500 1922 4 4 *** 3 3 1480 1184 2 423 w2AS Description 1-522 Sales price of residence (dollars) Finished area of residence (square feet) Total number of bedrooms in residence Total number of bathrooms in residence Presence or absence of air conditioning: 1 if yes; 0 otherwise Number of cars that garage will hold Presence or absence of swimming pool: 1 if yes; 0 otherwise Year property was originally constructed Index for quality of construction: 1 indicates high quality; 2 indicates medium quality; 3 indicates low quality Qualitative indicator of architectural style Lot size (square feet) Presence or absence of adjacency to highway: 1 if yes; 0 otherwise 0101‒‒ 7 ~~~ 2 2 221 8 ooo ooo 0 .... 0 0 0 9 1972 1976 1980 *** 1950 1953 1951 11 1 1 2 1 10 2 222 3 3 3 1 1 1 12 22221 22912 21345 AFE 14805 28351 14786 13 0 COO 000 Variable Number 2 3 567890 10 123 11 .... Variable Name Identification number Sales price Finished square feet Number of bedrooms Number of bathrooms Air conditioning Garage size Pool Year built Quality 1 2 360000 1 2 340000 3 250000 The city tax assessor was interested in predicting residential home sales prices in a mid- western city as a function of various characteristics of the home and surrounding property. Data on 522 arms-length transactions were obtained for home sales during the year 2002. Each line of the data set has an identification number and provides information on 12 other variables. The 13 variables are: Style Lot size Adjacent to highway 520 521 124000 522 95500 3032 2058 1780 .... 133500 1922 4 4 *** 3 3 1480 1184 2 423 w2AS Description 1-522 Sales price of residence (dollars) Finished area of residence (square feet) Total number of bedrooms in residence Total number of bathrooms in residence Presence or absence of air conditioning: 1 if yes; 0 otherwise Number of cars that garage will hold Presence or absence of swimming pool: 1 if yes; 0 otherwise Year property was originally constructed Index for quality of construction: 1 indicates high quality; 2 indicates medium quality; 3 indicates low quality Qualitative indicator of architectural style Lot size (square feet) Presence or absence of adjacency to highway: 1 if yes; 0 otherwise 0101‒‒ 7 ~~~ 2 2 221 8 ooo ooo 0 .... 0 0 0 9 1972 1976 1980 *** 1950 1953 1951 11 1 1 2 1 10 2 222 3 3 3 1 1 1 12 22221 22912 21345 AFE 14805 28351 14786 13 0 COO 000

Answer rating: 100% (QA)

1 Identification Number The identification number is used to identify each line of data in the data set It is a numerical identifier usually starting with a 1 and increasing by 1 for each successive l... View the full answer