As practiced by many in buying skirts or pants, they use the neckline to check if the waistline of the skirts or pants fits them. We would like to study this claim by using a random sample of neckline and waistline of 15 people. The data collected are summarized in the table. Subject 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Neckline (in cm) 33 30 40 35 42 39 35 37 39 39 44 44 42 32 41 Waistline (in cm) 83 68 71 78 96 92 67 76 84 83 96 98 101 73 77 1. What is the null and alternative hypothesis? 2. What is the critical value in the decision rule? 3. What is the appropriate decision? reject or fail to reject? 4. What is the conclusion?

As practiced by many in buying skirts or pants, they use the neckline to check if the waistline of the skirts or pants fits them. We would like to study this claim by using a random sample of neckline and waistline of 15 people. The data collected are summarized in the table. Subject 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Neckline (in cm) 33 30 40 35 42 39 35 37 39 39 44 44 42 32 41 Waistline (in cm) 83 68 71 78 96 92 67 76 84 83 96 98 101 73 77 1. What is the null and alternative hypothesis? 2. What is the critical value in the decision rule? 3. What is the appropriate decision? reject or fail to reject? 4. What is the conclusion?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 23PFA

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Correlation and Regression

Subject	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15
Neckline (in cm)	33	30	40	35	42	39	35	37	39	39	44	44	42	32	41
Waistline (in cm)	83	68	71	78	96	92	67	76	84	83	96	98	101	73	77

1. What is the null and alternative hypothesis?

2. What is the critical value in the decision rule?

3. What is the appropriate decision? reject or fail to reject?

4. What is the conclusion?

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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