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can you solve it by using R with explaining the steps the deadline line is today please

if you mean that the data is not clear this is to explain it

y=PIQ

x1= brain

x2=hight

x3=weight

Problem. The attached data set contains data on the intelligence based on the performance IQ ( y=PIQ) scores from the revised Wechsler Adult Intelligence Scale, brain size ( X1 brain) based on the count from MRI scans (given as count/10000), and body size measured by height in inches ( X2 height) and weight in pounds ( X3 weight) on 38 college students. Assume that the assumption of normality of the residuals is satisfied. ii. Add the second predictor X2 (height) to the model in (i). a) Write the complete ANOVA table. b) Obtain the parameter estimates in matrix form. c) Write the resulting model in matrix form. d) Obtain the residual matrix. iii. Which Model is the best (i) or (ii)? Please write a detailed explanation. Problem. The attached data set contains data on the intelligence based on the performance IQ ( y=PIQ) scores from the revised Wechsler Adult Intelligence Scale, brain size ( X1 brain) based on the count from MRI scans (given as count/10000), and body size measured by height in inches ( X2 height) and weight in pounds ( X3 weight) on 38 college students. Assume that the assumption of normality of the residuals is satisfied. ii. Add the second predictor X2 (height) to the model in (i). a) Write the complete ANOVA table. b) Obtain the parameter estimates in matrix form. c) Write the resulting model in matrix form. d) Obtain the residual matrix. iii. Which Model is the best (i) or (ii)? Please write a detailed explanation

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