Data on House Prices

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Description

The E2.2 data frame has 26 rows and 14 columns, data on house prices in different zones of Chicago.

Usage

1

Format

This data frame contains the following columns:

Price

a numeric vector, selling price of house in thousands of dollars.

BDR

a numeric vector, number of bedrooms.

FLR

a numeric vector, floor space in sq. feet.

FP

a numeric vector, number of fireplaces.

RMS

a numeric vector, number of rooms.

ST

a numeric vector, storm windows (1 present, 0 absent).

LOT

a numeric vector, front footage of lot in feet.

TAX

a numeric vector, annual taxes.

BTH

a numeric vector, number of bathrooms.

CON

a numeric vector, construction (0 if frame, 1 if brick).

GAR

a numeric vector, garage size (0=no garage, 10 1 auto garage, etc.).

CDN

a numeric vector, condition (1=needs work, 0 otherwise).

L1

a numeric vector, indicator for zone A.

L2

a numeric vector, indicator for zone B.

Source

Ms. Terry Tasch of Long-Kogan Realty, Chicago.

Examples

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