The p-value is Select an answer The p-value leads to a decision to Select an answer The conclusion is | Select an answer Select an answer At the 10% significance level, the data provides a significant negative linear correlation between advertising expense and profit. At the 10% significance level, the data provides a significant linear correlation between advertising expense and profit. At the 10% significance level, the data provides an insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit. At the 10% significance level, the data provides a significant positive linear correlation between advertising expense and profit.
The p-value is Select an answer The p-value leads to a decision to Select an answer The conclusion is | Select an answer Select an answer At the 10% significance level, the data provides a significant negative linear correlation between advertising expense and profit. At the 10% significance level, the data provides a significant linear correlation between advertising expense and profit. At the 10% significance level, the data provides an insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit. At the 10% significance level, the data provides a significant positive linear correlation between advertising expense and profit.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the
profits (in millions of dollars). Determine if there is a significant linear correlation between advertising cost
and profit. Use a significance level of 0.10 and round all values to 4 decimal places.
Advertising Cost
Profit
3
14
4
23
26
6
25
7
22
8
32
22
10
32
11
28
R vector x values: 3,4,5,6,7,8,9,10,11
R vector y values: 14,23,26,25,22,32,22,32,28
x-value
y-value
Ho: p = 0
На: р 3 0
Find the Linear Correlation Coefficient
r =
(Round to 2 decimal places)
Find the p-value
p-value =
(Round to 4 decimal places)
The p-value is
Select an answer
The p-value leads to a decision to
Select an answer
The conclusion is |L
Select an answer
Select an answer
At the 10% significance level, the data provides a significant negative linear correlation between advertising expense and profit.
At the 10% significance level, the data provides a significant linear correlation between advertising expense and profit.
At the 10% significance level, the data provides an insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit.
At the 10% significance level, the data provides a significant positive linear correlation between advertising expense and profit.
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