Below is the formula for regression analysis

REGRESSION ANALYSIS By using the least squares method (a procedure that minimizes the vertical deviations of plotted points surrounding a straight line) we are Y = bX + a able to construct a best fitting straight Change line to the scatter diagram points and then formulate a regression equation b = Slope in Y in the form of: Change in X a = Y-intercept =atby X E xy - 2 x Zy by= n y =y+b(x -x) nCORRELATION & REGRESSION ANALYSIS REGRESSION ANALYSIS EXERCISE 3: A sample of 6 persons was selected the value of their age ( x variable) and their weight is demonstrated in the following table. Find the regression equation and what is the predicted weight when age is 8.5 years. 41 X = = 6.83 66 V= 6 6 41 x 66 461 - b = 6 = 0.92 291 - (41) 6 y () = 4.675 + 0.92x CORRELATION & REGRESSION ANALYSIS REGRESSION ANALYSIS EXERCISE 3: A sample of 6 persons was selected the value of their age ( x variable) and their weight is demonstrated in the following table. Find the regression equation and what is the predicted weight when age is 8.5 years. Prediction when x= 3 5 jours y (85) = 4.675 + 0.92 *8.5 =12.50Kg