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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
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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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4d09ffa2-b6c2-4e97-915d-74d176d987ab%2F77f18812-323f-41f3-94cb-f984ea4205ed%2Fy0k6i5_processed.jpeg&w=3840&q=75)
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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