Linear Regression

LINEAR REGRESSION 1. Introduction o very often when 2 (or more) uncertains atomic number 18 respectd, race between them can be picture o predictions ar al counselings required in political economy or physical science from subsisting and historical in stratumation o relapsing analysis is use to help get these predictions and races o linear atavism is a special mixture of regression analysis in which 2 inconstants are analyse and a straight-line relationship is assumed o linear regression is important because 1. there exist more relationships that are of this form 2. it bequeaths close approximations to complicated relationships which would otherwise be difficult to chance upon o the 2 covariants are divided into (i) self-reliant protean and (ii) low-level variable o unfree Variable is the variable that we wish to aim o In hooked Variable is the variable that we use to make the forecast o e.g. Time vs. gross national product (time is independent, gross na tional product is dependent) o scatter plats are used to graphically presenting the relationship between the 2 variables o usually the independent variable is inveiglen on the horizontal axis (X) and the dependent variable on vertical axis (Y) o the regression line is also called the regression line of Y on X 2.

Assumptions o there is a linear relationship as hardened (observed) from the scatter diagram o the dependent jimmys (Y) are independent of from each(prenominal) one other, i.e. if we obtain a large value of Y on the first observation, the result of the second and attendant observations will non neces sarily provide a large value. In simple term! , there should not be auto-correlation o for each value of X the agree Y values are normally distributed o the warning deviations of the Y values for each value of X are the same, i.e. homoscedasticity 3. Process o observe and note what is happening in a systematic way o form some kind of theory some the observed facts o draw a scatter diagram to visualize relationship o generate the relationship by mathematical formula o...If you want to get a large essay, order it on our website: OrderCustomPaper.com

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