O Less than (or equal to) aThe p-value leads to a declslon to:O Accept HoO Reject HoO Do Not Reject HoThe conclusion isO There is a significant linear correlation between advertising expense and profit.O There is a significant positive linear correlation between advertising expense and profit.O There is a significant negative linear correlation between advertising expense and profit.O There is insufficient evidence to make a conclusion about the linear correlation betweenadvertising expense and profit.Hint: Helpful Video on the Linear Regression Line [+]Helpful Video on CorrelationHelpful Video on Hypothesis Tests for Correlation [+)HintsQuestion Help: Message instructorSubmit Questionesc883F3FS%232$24.QWtabTYAScaps lockFshiftCVNcontroloptionB Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) andthe profits (in millions of dollars}. Determine if there is a significant linear correlation betweenadvertising cost and profit. Use a significance level of 0.05 and round all values to 4 decimal places.Advertising Costt Profit271521303026Ho: p = 0Ha: p» 0Find the Linear Correlation CoefficientFind the p-valuep-value =The p-value isO Greater than aO Less than (or equal to) aThe p-value leads to a decision toO Accept HoO Reject HoDo Not Rejectiioesc888F1F3FSFBF9%2324&.12368QWRtabTYAScaps lockFHKCVNMcontroloptioncompBD

Oless than (or equal to) a The p-value leads to a decision to O Accept Ho O Reject Ho O Do Not Reject Ho The conclusion is O There is a significant linear correlation between advertising expense and profit. O There is a significant positive linear correlation between advertising expense and profit. O There is a significant negative linear correlation between advertising expense and profit. O There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit.

Oless than (or equal to) a The p-value leads to a decision to O Accept Ho O Reject Ho O Do Not Reject Ho The conclusion is O There is a significant linear correlation between advertising expense and profit. O There is a significant positive linear correlation between advertising expense and profit. O There is a significant negative linear correlation between advertising expense and profit. O There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It 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.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

O Less than (or equal to) a
The p-value leads to a declslon to:
O Accept Ho
O Reject Ho
O Do Not Reject Ho
The conclusion is
O There is a significant linear correlation between advertising expense and profit.
O There is a significant positive linear correlation between advertising expense and profit.
O There is a significant negative linear correlation between advertising expense and profit.
O There is insufficient evidence to make a conclusion about the linear correlation between
advertising expense and profit.
Hint: Helpful Video on the Linear Regression Line [+]
Helpful Video on Correlation
Helpful Video on Hypothesis Tests for Correlation [+)
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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 0.05 and round all values to 4 decimal places.
Advertising Costt Profit
27
15
21
30
30
26
Ho: p = 0
Ha: p» 0
Find the Linear Correlation Coefficient
Find the p-value
p-value =
The p-value is
O Greater than a
O Less than (or equal to) a
The p-value leads to a decision to
O Accept Ho
O Reject Ho
Do Not Rejectiio
esc
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FB
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24
&.
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2
3
6
8
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