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Regression Line
The line of regression is the line which give the best estimate to the values of one variable for any specific values of other variable.
For two variables on regression analysis there are two regression lines. One line as the regression of X and Y and the other for regression of Y and X , these two regression lines show the average relationship between the two variables. The regression line of Y on X gives the most probable values of Y for given values of X and the regression lien of X and Y gives the most probable values of X for given values of Y.
For perfect correlation positive or negative i ,e, for r= ± the two lines coincide i, e, we will find only one straight line. If r= 0 i, e, both the variance are independent then the two lines will cut each other are a right angle. In this case the two lines will be parallel to x and y axes. (see figure).
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
explanation
wha
Importance of models
Consider the LP min ?? = 50??1 + 100??2 3 ??.??. 7??1+2??2=28 2??1+12??2=24 ??1,??2=0 a. A basic solution of the constraint equations of this problem has how many basic variables,
problems
a. Discuss the methodology of Operations Research.
models of inventory management
1. Determination to enter a new territories. 2. To decide to enter a new market or not. 3. To determine how much production capacity to be builds up. 4. Helpful in
How to solve linear programming problems using simplex method introducing slack variable,surplus variable and artificial variable
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