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Meaning and Definitions of Regression
The dictionary meaning of regression is just opposite the meaning of progression. Progression means to move forward while regression means to move backward going back. Or the return to the mean value. The erm Regression was first used by sir Francis Galton in1877 in a study paper titled Regression toward Mediocrity in Hereditary Statue. In this paper he analysed the relationship between tjhe height of fathers and their sons. The sir galton of correlation between theheight of fathers and sons was0.8.He noted in the above study that if the average height of a certain set of fathers is x cm. Above the general average. Thus there was a tendency or move average .Thus there was a tendency or move toward mediocrity. Galton described the average relationship between the height of father and their sons as the line of regression.
Regression is used to establish relationship between two sets of related variables. The important definitions given by prominent writers are as given below .
Regression is the measure of average relationship between two or more variables in terms of the original units of the data.
It is often more important to f find out what the relationship actually is, in order to estimate or predict one variable and the statistical technique appropriate to such a case is called regression analysis. M. M .Blair
One of the frequently used technique in economics and business research to find a relation between two or more variable that are related causally, is regression are related. Taro Yamana
From the above definitions it may be concluded that regression analysis is a mathematical measure of the average relationship between a series of two or more variable in terms of the original units of data under study. It is used to predict the value of one variable on the basis of other variable.
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For a distribution of scores with = 82 and standard deviation = 2.5, find the following: (Don't forget to sketch the normal curve to help you visualize what you are trying to fi
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A) The three images shown below were blurred using square masks of sizes n=23, 25, and 45, respectively. The vertical bars on the le_ lower part of (a) and (c) are blurred, but a c
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
Consider the following linear regression model: a) What does y and x 1 , x 2 , . . . . x k represent? b) What does β o , β 1 , β 2 , . . . . β k represent?
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