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Question 11 Ho: p = 0 Ha: p > 0 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 positive linear correlation between advertising cost and profit. Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost 3 4 5 6 7 8 9 10 11 12 Find the p-value p-value The p-value is Profit 25 19 26 25 17 25 26 31 22 26 Find the Linear Correlation Coefficient r = < O Less than (or equal to) a O Greater than a The conclusion is > The p-value leads to a decision to O Accept Ho Reject Ho O Do Not Reject Ho

Question 11 Ho: p = 0 Ha: p > 0 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 positive linear correlation between advertising cost and profit. Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost 3 4 5 6 7 8 9 10 11 12 Find the p-value p-value The p-value is Profit 25 19 26 25 17 25 26 31 22 26 Find the Linear Correlation Coefficient r = < O Less than (or equal to) a O Greater than a The conclusion is > The p-value leads to a decision to O Accept Ho Reject Ho O Do Not Reject Ho

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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 2AGP
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Question 11 # 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 positive linear correlation between advertising cost and profit. Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost r = 3 4 5 6 7 8 9 10 11 12 Find the p-value p-value = The p-value is Ho: p = 0 Ha: p > 0 Find the Linear Correlation Coefficient 80 F3 O Less than (or equal to) a O Greater than a Do Not Reject Ho The conclusion is Profit 25 19 26 25 The p-value leads to a decision to O Accept Ho O Reject Ho $ 17 25 26 31 22 26 000 000 F4 < > % F5 - MacBook Air <. F6 - & F7 FB 9 DD F9
Transcribed Image Text:Question 11 # 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 positive linear correlation between advertising cost and profit. Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost r = 3 4 5 6 7 8 9 10 11 12 Find the p-value p-value = The p-value is Ho: p = 0 Ha: p > 0 Find the Linear Correlation Coefficient 80 F3 O Less than (or equal to) a O Greater than a Do Not Reject Ho The conclusion is Profit 25 19 26 25 The p-value leads to a decision to O Accept Ho O Reject Ho $ 17 25 26 31 22 26 000 000 F4 < > % F5 - MacBook Air <. F6 - & F7 FB 9 DD F9
The p-value is O Less than (or equal to) a Greater than a The p-value leads to a decision to Accept Ho Reject Ho O Do Not Reject Ho The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit. There is a significant linear correlation between advertising expense and profit. There is a significant positive linear correlation between advertising expense and profit. There is a significant negative linear correlation between advertising expense and profit. MacBook Air
Transcribed Image Text:The p-value is O Less than (or equal to) a Greater than a The p-value leads to a decision to Accept Ho Reject Ho O Do Not Reject Ho The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit. There is a significant linear correlation between advertising expense and profit. There is a significant positive linear correlation between advertising expense and profit. There is a significant negative linear correlation between advertising expense and profit. MacBook Air
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