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regression equationsthe regression equations express the regression line as there are two regression lines so there are two
why two regression linesonce regression line cannot minimize the sum of square of deviations for both the x and y series
regression linethe line of regression is the line which give the best estimate to the values of one variable
method of concurrent deviationsthe coefficient of concurrent deviation or coefficient of correlation b the concurrent
demerits ait cannot be used in the case of bi variate distributionbif the numbers of items are greater than say 30
merits ait is simple to understand and easy to calculatebit is very useful in the case of data which are of
tied ranks equal or repeated rankwhen two or more items have equal values it is difficult to give ranks to them in
calculation of ranks correlation where ranks are given when the actual ranks are given the steps followed areacompute the
rank methods spearman swhen the variables under consideration are not capable of quantitative measurement but can be
research abstracts abstracts of researches completed are available from the followings publicationsaicssr research abstracts contain abstracts of
information on research doneinformation on doctoral research work already done is available from the followings sourcesabibliography
techniques of work measurementa number of work measurement techniques have been developed to suit different types
two handed process chart of signing a latter a multiple activity chart records the related sequence of activities of
degree of correlation ship 1perfect correlation when changes in two related variables are exactly proportional there
usefulness of correlation1correlation is very useful to economists to study the relationship between variables
on the basis of ratio of change direction alinear correlation the correlation between two variables a said to be
types of correlation 1positive correlation when the values of two variables move in the same direction e when an increase in the
normal 0 false false false en-in x-none x-none
calculation of standard deviation - continuous series in the continuous series the methods of calculation standard deviation is almost the same as in
calculation of standard deviation - discrete series there are three methods for calculating standard deviation in discrete
deviation taken from assumed mean this methods is assorted when the arithmetic average is a fractional value taking
methods of calculation of standard deviation acalculation of standard deviation - individual series there are two methods of
uses of standard deviation normal 0 false false false en-in x-none x-none
disadvantage of standard deviation it is not easy to understand and calculateit gives more weight to the extremes and
advantages of standard deviation astandard deviation is based on all the observations and is rigidly definedbit is amenable to