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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).
Assumption of F- Test The theoretical assumption on which F test is based are: 1.The populations for each sample must be normally distributed with identical mean
Use of t -tables Similar to normal curve tables there exist t- distribution tables. However whereas the properties of the normal curve are constant for all
RANGE Range is the difference between the highest and the lowest value is series. This is the simplest absolute measure of dispersion. Symbolically : R= L- S
Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
Machine Tabulation This methods of tabulating information is generally used in case of extensive large scale surveys. Mechanical sorting and tabulating equipments and su
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Maximize6x1+8x2+5x3,st,labour3x1+4x2+5x3 =0 then brefly explain x1,x2,x3;term labour,metal&plastic;the160hours;x1,x2&x3>=0
What are the features of Operations Research?
Solve by Steps for Two-Phase Method Max Z = 5x 1 + 8x 2 Subject to 3x 1 + 2x 2 ≥ 3 x 1 + 4x 2 ≥ 4 x 1 + x 2 ≤ 5 & x 1 ≥ 0, x 2 ≥ 0 Answe
Level of Significance In testing a given hypothesis the maximum probability with which we would be willing to take risk is called level of significance of the test.
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