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Suppose IQ scores were obtained from randomly selected siblings.For 20such pairs

ID: 3219096 • Letter: S

Question

Suppose IQ scores were obtained from randomly selected siblings.For 20such pairs of people, the linear correlation coefficient is 0.915 and the equation of the regression line is

ModifyingAbove y=10.37+0.91x,

where x represents the IQ score of the older child. Also, the 20 x values have a mean of 104.18 and the 20 y values have a mean of105.55.

What is the best predicted IQ of the younger child,given that the older child has an IQ of 92?

Use a significance level of 0.05.

The best predicted IQ of the younger child is?

Critical Values of the Pearson Correlation Coefficient r

H0:=0 against

H1:0,rejectH0

n

=0.05

=0.01

4

0.950

0.990

5

0.878

0.959

6

0.811

0.917

7

0.754

0.875

8

0.707

0.834

9

0.666

0.798

10

0.632

0.765

11

0.602

0.735

12

0.576

0.708

13

0.553

0.684

14

0.532

0.661

15

0.514

0.641

16

0.497

0.623

17

0.482

0.606

18

0.468

0.590

19

0.456

0.575

20

0.444

0.561

25

0.396

0.505

30

0.361

0.463

35

0.335

0.430

40

0.312

0.402

45

0.294

0.378

50

0.279

0.361

60

0.254

0.330

70

0.236

0.305

80

0.220

0.286

90

0.207

0.269

100

0.196

0.256

n

=0.05

=0.01

Critical Values of the Pearson Correlation Coefficient r

NOTE: To test

H0:=0 against

H1:0,rejectH0

if the absolute value of r is greater than the critical value in the table.

n

=0.05

=0.01

4

0.950

0.990

5

0.878

0.959

6

0.811

0.917

7

0.754

0.875

8

0.707

0.834

9

0.666

0.798

10

0.632

0.765

11

0.602

0.735

12

0.576

0.708

13

0.553

0.684

14

0.532

0.661

15

0.514

0.641

16

0.497

0.623

17

0.482

0.606

18

0.468

0.590

19

0.456

0.575

20

0.444

0.561

25

0.396

0.505

30

0.361

0.463

35

0.335

0.430

40

0.312

0.402

45

0.294

0.378

50

0.279

0.361

60

0.254

0.330

70

0.236

0.305

80

0.220

0.286

90

0.207

0.269

100

0.196

0.256

n

=0.05

=0.01

Explanation / Answer

For n = 20 and significance level of 0.05,

Critical r value = 0.444

According to question

Calculated r value = 0.915

Since this is greater than the critical value, a linear relationship exists between the two variable.

Hence,

For x = 92,

y = 10.37 + 0.91 (92)

y = 94.09

So,

The best predicted IQ of the younger child, given that the older child has an IQ of 92 is 94.09.

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