A random sample of 11 professional athletes produced the following data, where a is the number of endorsements the player has and y is the amount of money the player made (in millions of dollars). (Comma separated lists of the data are also provided below the table to ease in copying the data to R.) Number of Endorsements (x) Millions of Dollars Player Made (y) 26.7 6. 14.6 12.1 19.8 10 39.1 40.2 10 29.9 0.1 6. 16.3 12.2 4. 9.7 T: 3, 6, 5, 8, 10, 6, 10, 4, 6, 5, 4 y: 26.7, 14.6, 12.1, 19.8, 39.1, 40.2, 29.9, 0.1, 16.3, 12.2, 9.7 Perform a hypothesis test with a 8% level of significance to determine whether or not there is a significant linear correlation between the number of endorsements an athlete receives and the amount of money they make. Step 1: State the null and alternative hypotheses. Ho:P This is not a decimal or integer value. 8= Ha:p #v w. 4.
A random sample of 11 professional athletes produced the following data, where a is the number of endorsements the player has and y is the amount of money the player made (in millions of dollars). (Comma separated lists of the data are also provided below the table to ease in copying the data to R.) Number of Endorsements (x) Millions of Dollars Player Made (y) 26.7 6. 14.6 12.1 19.8 10 39.1 40.2 10 29.9 0.1 6. 16.3 12.2 4. 9.7 T: 3, 6, 5, 8, 10, 6, 10, 4, 6, 5, 4 y: 26.7, 14.6, 12.1, 19.8, 39.1, 40.2, 29.9, 0.1, 16.3, 12.2, 9.7 Perform a hypothesis test with a 8% level of significance to determine whether or not there is a significant linear correlation between the number of endorsements an athlete receives and the amount of money they make. Step 1: State the null and alternative hypotheses. Ho:P This is not a decimal or integer value. 8= Ha:p #v w. 4.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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Transcribed Image Text:A random sample of 11 professional athletes produced the following data, where a is the number
of endorsements the player has and y is the amount of money the player made (in millions of
dollars). (Comma separated lists of the data are also provided below the table to ease in copying the
data to R.)
Number of Endorsements (x)
Millions of Dollars Player Made (y)
26.7
6.
14.6
12.1
19.8
10
39.1
40.2
10
29.9
4
0.1
6.
16.3
12.2
9.7
x: 3, 6, 5, 8, 10, 6, 10, 4, 6, 5, 4
y: 26.7, 14.6, 12.1, 19.8, 39.1, 40.2, 29.9, 0.1, 16.3, 12.2, 9.7
Perform a hypothesis test with a 8% level of significance to determine whether or not there is a
significant linear correlation between the number of endorsements an athlete receives and the
amount of money they make.
Step 1: State the null and alternative hypotheses.
Ho:p =v 8=
This is not a decimal or integer value.
H:p #v
v test.)
(So we will be performing a two-tailed
O Doct to forum
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