Use the data below taken from a random sample of adults, and the a = 0.01 level of significance, to determine whether or not there is a significant, positive linear correlation between the length of a person's arm and the amount of money they contribute annually to charity. Which would be correct hypotheses for this test? Sample Data: Ho: p= 0; H₁: p=0 Ho p= 0; H₁:p> 0 : Ho : μ = 0; H1 : μ > 0 Ho p= 0; H₁: p<0 Arm length (cm) Charitable Giving ($) 199 202 209 200 199 202 213 193 198 207 208 195 .627 What is the Pearson Correlation Coefficient for the sample data (n)? (Round to three decimals) .029 368.6 348.74 358.41 356.72 350.71 349.7 374.59 345.04 343.88 358.67 OB X 349.41 343.95 Give the P-value: (Round to three decimals)

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 11PPS
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Question
Give the P-value: (Round to three decimals)
.029
X
Which is the correct result:
OT
Do not Reject the Null Hypothesis
Reject the Null Hypothesis
Which would be the appropriate conclusion?
(You will receive 0 points on this part until your instructor reads your conclusion.)
If there is significant correlation, use the equation of the linear regression line to predict the annual charitable
donation amount for a person who's arm is 185 cm long. (Round to the nearest cent) If there is not significant
correlation, you should not use the equation of the linear regression line, so just write 'no correlation' in the
box.
Transcribed Image Text:Give the P-value: (Round to three decimals) .029 X Which is the correct result: OT Do not Reject the Null Hypothesis Reject the Null Hypothesis Which would be the appropriate conclusion? (You will receive 0 points on this part until your instructor reads your conclusion.) If there is significant correlation, use the equation of the linear regression line to predict the annual charitable donation amount for a person who's arm is 185 cm long. (Round to the nearest cent) If there is not significant correlation, you should not use the equation of the linear regression line, so just write 'no correlation' in the box.
Use the data below taken from a random sample of adults, and the a = 0.01 level of significance, to determine
whether or not there is a significant, positive linear correlation between the length of a person's arm and the
amount of money they contribute annually to charity.
Which would be correct hypotheses for this test?
Sample Data:
Ho: p= 0; H₁: p=0
Ho p= 0; H₁: p > 0
Ho : μ = 0; H1 :μ > 0
Ho: p = 0; H₁: p<0
Arm length (cm) Charitable Giving ($)
199
368.6
202
348.74
209
358.41
200
356.72
199
350.71
202
213
193
198
207
208
195
.627
What is the Pearson Correlation Coefficient for the sample data (n)? (Round to three decimals)
.029
349.7
374.59
345.04
343.88
358.67
349.41
343.95
Give the P-value: (Round to three decimals)
X
Transcribed Image Text:Use the data below taken from a random sample of adults, and the a = 0.01 level of significance, to determine whether or not there is a significant, positive linear correlation between the length of a person's arm and the amount of money they contribute annually to charity. Which would be correct hypotheses for this test? Sample Data: Ho: p= 0; H₁: p=0 Ho p= 0; H₁: p > 0 Ho : μ = 0; H1 :μ > 0 Ho: p = 0; H₁: p<0 Arm length (cm) Charitable Giving ($) 199 368.6 202 348.74 209 358.41 200 356.72 199 350.71 202 213 193 198 207 208 195 .627 What is the Pearson Correlation Coefficient for the sample data (n)? (Round to three decimals) .029 349.7 374.59 345.04 343.88 358.67 349.41 343.95 Give the P-value: (Round to three decimals) X
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