1.)The dataset above represents average height and weights for female babies at certain ages. For the dataset above, write the R code, that would do the following:a.) Create a multilinear regression model that predicts a female baby's age based on both their weight and length.b.)Gives a summary of the main features of your linear regression model which includes RSE, equation of regression line, R^2 and adj(R^2) values and plots the residuals.c.) Predicts a female baby's age who weighs 20 pounds and is 28 inches long.d.) Go to Run_R_Script ( https://rcommand.com/main.html ) and run your R code and then do the following:e.) Looking at the R output, find the following and write your answers below the R code in your google doc:Adjusted R-squared= Find the a, b and c for the Multilinear Regression Model:Age_months= a*Weight_pounds+ b*Length_inches+cPredicted female baby's age who weighs 20 pounds and is 28 inches longf.) Paste the graph of the residuals at the bottom of your google doc. Age_months039152036Weight_pounds7.313.318.82224.431.5d.)then do the following:Length_inches3b.)Gives a summary of the main features of your linearregression model which includes RSE, equation ofregression line, R^2 and adj(R^2) values and plots theresiduals.19.423.627.61.)The dataset above represents average heightand weights for female babies at certain ages. For thedataset above, write the R code,thatwould do the following:a.) Create a multilinear regression model that predicts afemale baby's age based on both their weight and length.30.632.637c.) Predicts a female baby's age who weighs 20 pounds andis 28 inches long.Go to Run_R_Script and run your R code ande.) Looking at the R output, find the following and write youranswers below the R code in your google doc:Adjusted R-squared=Find the a, b and c for the Multilinear Regression Model:Age_months= a*Weight_pounds+ b*Length_inches+cPredicted female baby's age who weighs 20 pounds and is28 inches longf.) Paste the graph of the residuals at the bottom of yourgoogle doc.

a) f <- function(x,m,v) dnorm(x,m,sqrt(v)) g <- function(x,x0,lambda) dcauchy(x,x0,lambda)…

Answered: 1.)The dataset above represents average…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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1.)The dataset above represents average height and weights for female babies at certain ages. For the dataset above, write the R code, that would do the following: a.) Create a multilinear regression model that predicts a female baby's age based on both their weight and length. b.)Gives a summary of the main features of your linear regression model which includes RSE, equation of regression line, R^2 and adj(R^2) values and plots the residuals. c.) Predicts a female baby's age who weighs 20 pounds and is 28 inches long. d.) Go to Run_R_Script ( https://rcommand.com/main.html ) and run your R code and then do the following: e.) Looking at the R output, find the following and write your answers below the R code in your google doc: Adjusted R-squared= Find the a, b and c for the Multilinear Regression Model: Age_months= a*Weight_pounds+ b*Length_inches+c Predicted female baby's age who weighs 20 pounds and is 28 inches long f.) Paste the graph of the residuals at the bottom of your google doc.