**Analysis of Sibling IQ Scores**Suppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield statistics as follows: - Mean IQ score of older child (\( \bar{x} \)) = 99.21- Mean IQ score of younger child (\( \bar{y} \)) = 101.2- Pearson correlation coefficient (\( r \)) = 0.698- P-value = 0.000The regression equation used for prediction is:\[ \hat{y} = 21.92 + 0.8x \]where \( x \) represents the IQ score of the older child. **Objective:** Find the best predicted value of \( \hat{y} \) given that the older child has an IQ of 92. A significance level of 0.05 is used for the analysis.Instruction: Click the icon to view the critical values of the Pearson correlation coefficient \( r \).**Best Predicted Value Calculation**The best predicted value of \( \hat{y} \) is [input required].*(Round to two decimal places as needed.)*

Given that the predicted linear regression equation is, y^ = 21.92+(0.8) x ....(I) Here x…

otained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield x = 99.21, y = 1 =presents the IQ score of the older child. Find the best predicted value of y given that the older child H the critical values of the Pearson correlation coefficient r. of ý is ces as needed.)

otained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield x = 99.21, y = 1 =presents the IQ score of the older child. Find the best predicted value of y given that the older child H the critical values of the Pearson correlation coefficient r. of ý is ces as needed.)

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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