Question: begin{tabular}{|r|r|r|r|r|r|} hline & A & B & C & D & E hline 1 & 1 & 2 & x3 & y hline

 \begin{tabular}{|r|r|r|r|r|r|} \hline & A & B & C & D &

E \\ \hline 1 & 1 & 2 & x3 & y\\ \hline 2 & 258 & 98 & 9.5 & 15 &

\begin{tabular}{|r|r|r|r|r|r|} \hline & A & B & C & D & E \\ \hline 1 & 1 & 2 & x3 & y \\ \hline 2 & 258 & 98 & 9.5 & 15 & \\ \hline 3 & 246 & 87 & 10.0 & 16 & \\ \hline 4 & 113 & 113 & 18.5 & 24 \\ \hline 5 & 320 & 35 & 3.0 & 32 & \\ \hline 6 & & & & & \\ \hline 7 & & & & & \\ \hline 8 & & & & & \\ \hline 8 & & & & \end{tabular} The accompanying data set contains three predictor variables, x1,x2, and x3, and one numerical target variable, y. A regression tree will be constructed using the data set. Deicture Click here for the Excel Data File a. List the highest and lowest split values for x1. (Round your answers to 1 decimal place.) b. List the highest and lowest split values for x2. (Round your answers to 1 decimal place.) c. List the highest and lowest split values for x3. (Round your answers to 2 decimal places.) d. Compute the MSE of the partition x1=252. (Round your answer to 4 decimal places.) e. Compute the MSE of the partition x2=92.5. (Round your answer to 4 decimal places.) f. Compute the MSE of the partition x3=14.25. (Do not round intermediate calculations. Round your answer to 4 decimal places.) g. Which of the following statements is the most accurate? The partition 3=14.25 creates a higher MSE; therefore, it is the better split for achieving purity. The partition 2=92.5 creates a lower MSE; therefore, it is the better split for achieving purity. The partition 1=252 creates a lower MSE; therefore, it is the better split for achieving purity. The partition 2=92.5 creates a higher MSE; therefore, it is the better split for achieving purity. \begin{tabular}{|r|r|r|r|r|r|} \hline & A & B & C & D & E \\ \hline 1 & 1 & 2 & x3 & y \\ \hline 2 & 258 & 98 & 9.5 & 15 & \\ \hline 3 & 246 & 87 & 10.0 & 16 & \\ \hline 4 & 113 & 113 & 18.5 & 24 \\ \hline 5 & 320 & 35 & 3.0 & 32 & \\ \hline 6 & & & & & \\ \hline 7 & & & & & \\ \hline 8 & & & & & \\ \hline 8 & & & & \end{tabular} The accompanying data set contains three predictor variables, x1,x2, and x3, and one numerical target variable, y. A regression tree will be constructed using the data set. Deicture Click here for the Excel Data File a. List the highest and lowest split values for x1. (Round your answers to 1 decimal place.) b. List the highest and lowest split values for x2. (Round your answers to 1 decimal place.) c. List the highest and lowest split values for x3. (Round your answers to 2 decimal places.) d. Compute the MSE of the partition x1=252. (Round your answer to 4 decimal places.) e. Compute the MSE of the partition x2=92.5. (Round your answer to 4 decimal places.) f. Compute the MSE of the partition x3=14.25. (Do not round intermediate calculations. Round your answer to 4 decimal places.) g. Which of the following statements is the most accurate? The partition 3=14.25 creates a higher MSE; therefore, it is the better split for achieving purity. The partition 2=92.5 creates a lower MSE; therefore, it is the better split for achieving purity. The partition 1=252 creates a lower MSE; therefore, it is the better split for achieving purity. The partition 2=92.5 creates a higher MSE; therefore, it is the better split for achieving purity

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