APPLICATION OF MULTIPLE LINEAR REGRESSION ANALYSIS ON PRODUCTION TREND OF SACHET WATER IN NIGER STATE POLYTECHNIC ZUNGERU FROM JANUARY TO DECEMBER 2019
Abstract
variable for ith observation, is regression intercept for kth response, is jth predictor variable slope for kth response, is jth predictor variable for ith observation and is the error vector.
The regression problem may be solved by a number of techniques; the most used method is least squares. In least square regression analysis, the ’s are selected so as to minimize the sum of the square residuals. This set of ’s is not necessarily the set you want since they may be distorted by outliners that are not representative of the data. Robust regression as alternative to least square seeks to reduce the influence of outlier.
Once the ’s have been estimate, various indices are studied to determine the reliabili
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