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Suppose predicted value of y given that the wife has an IQ of 90? Use a significance level of 0.05. scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x= 100.88, y = 100.7, r=0.914, P-value = 0.000, and y = - 10.01 + 1.1x, where x represents the IQ score of the wife. Find the bes E Click the icon to view the critical values of the Pearson corelation coefficient r. Critical Values of the Pearson Correlation Coefficientr Critical Values of the Pearson Correlation Coefficient r a= 0.05 0.950 0.878 0.811 0.754 0.707 The best predicted value of y is (Round to two decimal places as needed.) NOTE: To test H p=0 against H,: p# 0, reject H. if the absolute value of r is greater than the critical value in the table. a= 0.01 0.990 0.959 0,917 5 0.875 0.834 0.798 0.765 0 735 9 10 0.666 0.632

Suppose predicted value of y given that the wife has an IQ of 90? Use a significance level of 0.05. scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x= 100.88, y = 100.7, r=0.914, P-value = 0.000, and y = - 10.01 + 1.1x, where x represents the IQ score of the wife. Find the bes E Click the icon to view the critical values of the Pearson corelation coefficient r. Critical Values of the Pearson Correlation Coefficientr Critical Values of the Pearson Correlation Coefficient r a= 0.05 0.950 0.878 0.811 0.754 0.707 The best predicted value of y is (Round to two decimal places as needed.) NOTE: To test H p=0 against H,: p# 0, reject H. if the absolute value of r is greater than the critical value in the table. a= 0.01 0.990 0.959 0,917 5 0.875 0.834 0.798 0.765 0 735 9 10 0.666 0.632

MATLAB: An Introduction with Applications
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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Save Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x= 100.88, y= 100.7, r=0.914, P-value = 0.000, and y = - 10.01+1.1x, where x represents the IQ score of the wife. Find the best predicted value of y given that the wife has an lIQ of 90? Use a significance level of 0.05. E Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficientr Critical Values of the Pearson Correlation Coefficient r a = 0.05 0.950 0.878 NOTE: To test H: p=0 against H,: p# 0, reject Ho f the absolute value of r is greater than the critical value in the table. a= 0.01 The best predicted value of y is. (Round to two decimal places as needed.) 0.990 0,959 4 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.917 0.875 0.834 0.798 0.765 0.735 0.708 0.684 0.661 0.641 6. 8. 10 11 12 13 0.553 0.532 0.514 0.497 14 15 16 0.623 17 0.606 0.590 0.575 0.561 0.505 0.482 0.468 18 0.456 0.444 19 20 25 0.396 30 0.361 0.335 0.312 0.463 35 0.430 40 0.402 0.378 45 0.294 0.279 50 0.361 60 0.254 0.330 70 0.236 0.305 0.000
Transcribed Image Text:Save Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x= 100.88, y= 100.7, r=0.914, P-value = 0.000, and y = - 10.01+1.1x, where x represents the IQ score of the wife. Find the best predicted value of y given that the wife has an lIQ of 90? Use a significance level of 0.05. E Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficientr Critical Values of the Pearson Correlation Coefficient r a = 0.05 0.950 0.878 NOTE: To test H: p=0 against H,: p# 0, reject Ho f the absolute value of r is greater than the critical value in the table. a= 0.01 The best predicted value of y is. (Round to two decimal places as needed.) 0.990 0,959 4 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.917 0.875 0.834 0.798 0.765 0.735 0.708 0.684 0.661 0.641 6. 8. 10 11 12 13 0.553 0.532 0.514 0.497 14 15 16 0.623 17 0.606 0.590 0.575 0.561 0.505 0.482 0.468 18 0.456 0.444 19 20 25 0.396 30 0.361 0.335 0.312 0.463 35 0.430 40 0.402 0.378 45 0.294 0.279 50 0.361 60 0.254 0.330 70 0.236 0.305 0.000
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