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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).
Minimization Example A farmer is advised to utilize at least 900 kg of mineral A and 1200 kg of mineral B to increase the productivity of crops in his fields.
maximize z=3x1+2*2 subject to the constraints x1+x2=4 x1-x2=2 x1.x2=0
Assumption for students Test a.The parent population from which the samples is drawn in normal. b.The sample observations are random i ,e the given sample is drawn
a paper mill prodecs 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 in
what will happen when line balance doesn not exist
Operation research makes no allowance for intangible factors such as skill attitude vigor of the management people in taking decisions but in many instances success or fail
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
Non-Documentary Sources: On the other hand, non-documentary sources are institutional and human resources, both of which are important links in the information-transfer chain.
procedure of modi method
Deviation Taken from Assumed Mean This methods is assorted when the arithmetic average is a fractional value. Taking deviation from fractional value would be a ver
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