A REGRESSION MODEL FOR PREDICTING AUTOMOBILE CRASHWORTHINESS

A STEPWISE REGRESSION ANALYSIS OF AUTOMOBILE CRASHWORTHINESS IS DEVELOPED. A SAMPLE OF FOUR HUNDRED ELEVEN TEXAS ACCIDENTS WERE USED IN WHICH THE DRIVE MIX WAS HELD CONSTRANT AND ALL OTHER FACTORS WERE RANDOMIZED. NINE PREDICTOR VARIABLES (LENGTH, WIDTH, WEIGHT, HEIGHT, STEERING RATIO, WHEELBASE, WHEEL STANCE, BRAKE HORSEPOWER, AND BRAKE AREA) WERE CONSIDERED. USING REGRESSION ANALYSIS, A FINAL EQUATION UTILIZING THESE INDEPENDENT VARIABLES AND EXPLAINING ELEVEN PERCENT OF THE VARIANCE IN THE DEPENDENT VARIABLE, WAS OBTAINED FOR CAR BODY DAMAGE COST. /NTIS/

• Corporate Authors:

  Texas A&M University, College Station

  Department of Industrial Engineering
  College Station, TX  United States  77843
• Authors:
  • Kramer, C W
• Publication Date: 1971-12

Media Info

• Pagination: 145 p.

Subject/Index Terms

• TRT Terms: Automobiles; Costs; Crashworthiness; Equations; Loss and damage; Regression analysis
• Subject Areas: Data and Information Technology; Finance; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 00221888
• Record Type: Publication
• Source Agency: National Technical Information Service
• Report/Paper Numbers: Ma Thesis
• Files: TRIS
• Created Date: Jul 8 1973 12:00AM