q2 can you show every step on how to do the question do that I can understand the steps clearly. Also attached the regression . please use this formula ya (a) The table below shows the age of children and the number of words recalled in a memory game.AgeNumber of Words Recalled3545646(1) Based on the data above, find the linear regression equation to predict the number of wordsrecalled from their age.(1) Calculate the predicted Y value for each of the X value Regression StepsSTEP 1 PEARSON CORRELATION FIND r VALUESTEP 2 REGRESSIONRegression functionΣx ΣΥ = Σxy -ỹ = a + bxΣχ2ΣΥ2 :N =ExEySP -Σxy -Slope b regression of lineSPn(Ey)?bSSxSSy = Ey2n(Σx)2Y intercept a of regression lineSSy Σχ2а — Му — ьмх– bMxà =SPr =(SSx)(SSy)STEP 3F RATIO HYPOTHESIS TESTING REGRESSIION STANDARD ERROR OF ESTIMATESTEP4но-SS resi dualп — 2SS regression =r2 SSySS residual = (1-r^2 XSSY )Df regressionDf residual =n – 2(Numerator)(denominator)MS regression = (SS regression)/df regression)MS residual = (SS residual)/(df residual)F= (MS regression)/(MS residual)a 0.05, df = Numerator, Denominator, F Critical (fromthe table) =If F calculated >F Critical , H0 Rejected

(a) The table below shows the age of children and the number of words recalled in a memory game. Age Number of Words Recalled 3 5 2 4 5 5 ) Based on the data above, find the linear regression equation to predict the number of words recalled from their age. (1 Calculate the predicted Y value for each of the X value