Linear Regression

LINEAR REGRESSION 1. Introduction o very a great deal when 2 (or more) uncertains atomic number 18 preserved, race between them can be picture o predictions are al commissions required in political economy or physical science from real and historical in stratumation o relapsing analysis is employ to help get these predictions and human relationships 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 umpteen 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 change integrity into (i) self-reliant varying and (ii) low-level variable o parasitic Variable is the variable that we wish to hope o In hooked Variable is the variable that we use to make the forecast o e.g. Time vs. gross national p roduct (time is independent, gross national product is dependent) o scatter plots 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 excessively called the regression line of Y on X 2.

Assumptions o there is a linear relationship as unflinching (observed) from the scatter diagram o the dependent places (Y) are independent of each 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 necessarily 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 well-nigh 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 affluent essay, order it on our website: OrderCustomPaper.com

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