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Why Two regression Lines
Once regression line cannot minimize the sum of square of deviations for both the x and Y series unless the relationship between them indicate perfect positive or negative correlation. In case of perfect correlations one regression lien is enough because X and Y series have the same type of deviations. Ordinarily in social sciences perfect correlation is very rarely found. For this reason one regression line minimizes the sum of the squares of deviations of the X series and the other regression line takes care of the deviations y series.
Solve the following Linear Programming Problem using Simple method. Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
What is linear programming
Regression Equations The regression equations express the regression line. As there are two regression lines so there are two regression equations. The regression equatio
ppt on decision tree
#q.2 Q.2 Six Operators are to be assigned to five jobs with the cost of assignment in Rs. given in the matrix below. Determine the optimal assignment. Which operator will have no a
Assignments should be submitted via FLO by the above deadline. Penalties for late submission are as set out in the topic SAM on FLO. Extensions can be granted in line with standard
A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y paper i
Simple Graph The values of the two variables are plotted on a graph paper. We get two curves one for x variables and another for y variables. These two curves reveal the dir
the application areas of linear programming
Research Methodology 1. Discuss how the research will be executed to achieve the proposed research objectives. The methodology should be based on the methods that are used in
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