Characteristics, and community characteristics. Regression analysis identi-fied the statistical significance of various factors thought to affect the likeli-hood of farmer involvement in an on-farm recreation business and the amount of income derived by farmers involved in a recreation enterprise. Regression Analysis for Proportions. When the response variable is a proportion or a binary value (0 or 1), standard regression techniques must be modified. STATGRAPHICS provides two important procedures for this situation: Logistic Regression and Probit Analysis. Both methods yield a prediction equation that is constrained to lie between 0 and 1.
- Characteristics Of Regression Analysis In Statistics
- Characteristics Of Simple Linear Regression Analysis
Multiple-regression techniques are commonly used to transfer flood characteristics from gaged to ungaged watersheds. In the arid or semiarid areas of the United States, the standard errors of these regression relations often are quite large. One way to reduce the standard error is to identify basin characteristics that are significant for predicting T-year flood discharges such as 50- or 100-year floods. Recent investigations have identified new characteristics that appear to be promising. Examples of these are main channel sinuosity, hydraulic radius, bank-full channel conveyance, basin shape, time-to-peak of the flood hydrograph, effective drainage area, and percent of the basin in a given hydrologic soil group. The appropriateness of their use and the application of these basin characteristics are discussed. In addition, a few new basin characteristics are suggested that have not yet been investigated. Examples include channel infiltration losses, ratio of main channel width to flood-plain width, stream-network magnitude, channel storage indices, and drainage density.
- Record URL:
- http://onlinepubs.trb.org/Onlinepubs/trr/1988/1201/1201-005.pdf
- Record URL:
- https://scholar.google.com/scholar_lookup?title=BASIC+CHARACTERISTICS+FOR+REGRESSION+ANALYSIS+IN+ARID+AREAS&author=W.+Thomas&publication_year=1988
- Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0309047625
- Supplemental Notes:
- This paper appears in Transportation Research Record No. 1201, Arid Lands: Hydrology, Scour, and Water Quality. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
- Authors:
- Thomas Jr, W O
- Publication Date: 1988
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 37-42
- Monograph Title: Arid lands: hydrology, scour and water quality
- Serial:
- Issue Number: 1201
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Characteristics Of Regression Analysis In Statistics
Subject/Index Terms
- TRT Terms: Arid land; Floods; Multiple regression analysis; Reduction (Chemistry); Regression analysis; Standard error; Watersheds
- Uncontrolled Terms: Flood peaks
- Old TRIS Terms: Arid region; Basin characteristics; Discharge; Multiple regression; Reduction; Semiarid land
- Subject Areas: Data and Information Technology; Highways; Hydraulics and Hydrology; I26: Water Run-off - Freeze-thaw;
Filing Info
Characteristics Of Simple Linear Regression Analysis
- Accession Number: 00489703
- Record Type: Publication
- ISBN: 0309047625
- Files: TRIS, TRB, ATRI
- Created Date: Nov 30 1989 12:00AM