Question

define Regression in statistics fully with all formula.....this is urgent ...plz..​

Answer 1

Answer:

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Step-by-step explanation:

Regression analysis is a set of statistical methods used for the estimation of relationships between a dependent variable and one or more independent variablesIndependent VariableAn independent variable is an input, assumption, or driver that is changed in order to assess its impact on a dependent variable (the outcome

Answer 2

Answer:

regression is a basic and commonly used type of predictive analysis in statistics. Its complete idea is to examine two things. First, to check whether a set of predictor variables do a good job in predicting an outcome. And second, to find which variable, in particular, is significant predictors of the outcome variable, and in what way. These regression estimates are very useful for explaining the relationship between one or more independent variables & only one dependent variable. The simplest form is the linear equation.

Formula for linear regression equation is given by:

$y = a +bx$

a and b are given by the following formulas: ( check the attachment )

Where,

x and y are two variables on the regression line.

b = Slope of the line.

a = y-intercept of the line.

x = Values of the first data set.

y = Values of the second data set.

Hope u understand