![]() Regression equation of Y on XĪ researcher has found that there is a co-relation between the weight tendencies of father and son. Algebraic MethodĪlgebraic method develops two regression equations of X on Y, and Y on X. The regression line is based on the criteria that it is a straight line that minimizes the sum of squared deviations between the predicted and observed values of the dependent variable. It shows the best mean values of one variable corresponding to mean values of the other. After that a line is drawn in such a manner that it passes through most of the distribution, with remaining points distributed almost evenly on either side of the line.Ī regression line is known as the line of best fit that summarizes the general movement of data. It involves drawing a scatter diagram with independent variable on X-axis and dependent variable on Y-axis. It is possible to predict the value of other variables (called dependent variable) if the values of independent variables can be predicted using a graphical method or the algebraic method. Regression analysis helps in determining the cause and effect relationship between variables. Calculating the line of best fit means finding specific. Once the degree of relationship between variables has been established using co-relation analysis, it is natural to delve into the nature of relationship. The line is expressed by a linear equation of the form y mx + b, where m is the slope of the line and b is in y-intercept of the line. Regression Intercept Confidence Interval.Process Capability (Cp) & Process Performance (Pp). ![]() Data collection - Questionaire Designing. ![]()
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