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Linear Regression
Generally, in two mutually related statistical series, the regression analysis based on graphic method. Under graphic method the values of X and Y variable are plotted on a graph paper in the form of a scatter Diagram .When two lines are drawn passing nearest to the dots, these are known as regression line. If these lines are straight, the regression is called as linear. The equations of these straight regression lines are called equations of the first degree. Regression equation of y on x : y =a+bX and regression equation of X and y:x =a+by. If these regression lines take the form of smooth curve, the regression will be called as curvilinear.
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
#regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual
Objective of index numbers
Agreement The degree to which different observers, raters or diagnostic the tests agree on the binary classification. Measures of agreement like that of the kappa coefficient qu
There may be two values which occur with the same maximum frequency. The distribution is then called bimodal. In a bimodal distribution, the value of mode cannot be determined with
Classification of Universe The universe may be classified either on the basis of number of units and on the basis of existence of units as is clear from the following chart :
Assumption of extrapolation
Analysis of variance allows us to test whether the differences among more than two sample means are significant or not. This technique overcomes the drawback of the method used in
introduction of median
We are interested in assessing the effects of temperature (low, medium, and high) and technical configuration on the amount of waste output for a manufacturing plant. Suppose that
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