3. For page 12 of chapter 9 notes, the steps for completing a linear correlation hypothesis test are provided. On step 5, a conclusion sentence must be written. Which option below best describes how make a conclusion sentence for a linear regression test? 3. For page 12 of chapter 9 notes, the steps for completing a linear correlation hypothesis testare provided. On step 5, a conclusion sentence must be written. Which option below bestdescribes how make a conclusion sentence for a linear regression test?Depending on step 4, if the p-value indicates to reject the null hypothesis, then the sentence is "There islinear correlation." but If the p-value indicates to fail to reject the null hypothesis, then the sentence is"There is no linear correlation."none of the other answers is correctDepending on step 4, if the p-value indicates to reject the null hypothesis, then the sentence is "There isno linear correlation." but if the p-value indicates to fail to reject the null hypothesis, then the sentence is"There is linear correlation." Step 1, Hypothesis Test for Correlation Hypotheses - Requirements.Look at a scatterplot such as the one below from the shoe size data. Is there someform of linear pattern?190Height (cm)18518017517025 26 2728 29 30 31 32 33 34 35Shoe Print (cm)Step 2, Hypothesis Test for Correlation Hypotheses - Formal Statements(There is no linear correlation.)(There is linear correlation.)Ho: p = 0Ho: p = 0Step 3, Hypothesis Test for Correlation - test statisticTechnology will provide a T score for the data. Write down this value on your paper.Step 4, Hypothesis Test for Correlation - p-valueStep 5, Hypothesis Test for Correlation - write the conclusionIf the P-Value is greater than the significance level, fail to reject the null hypothesisand conclude that there is not sufficient evidence to support the claim of a linearcorrelation.If the P-Value is less than the significance level, reject the null hypothesis andconclude that there is sufficient evidence to support the claim of a linear correlation.

The hypothesis for the correlation test is as follows. H0: ρ=0H1: ρ≠0 The null hypothesis stated…

Step 1, Hypothesis Test for Correlation Hypotheses - Requirements. Look at a scatterplot such as the one below from the shoe size data. Is there some form of linear pattern? 190 Height (cm) 185 180 175 170 25 26 27 28 29 30 31 32 33 34 35 Shoe Print (cm) Step 2, Hypothesis Test for Correlation Hypotheses - Formal Statements (There is no linear correlation.) (There is linear correlation.) Ho: p = 0 Ho: p = 0 Step 3, Hypothesis Test for Correlation - test statistic Technology will provide a T score for the data. Write down this value on your paper. Step 4, Hypothesis Test for Correlation - p-value Step 5, Hypothesis Test for Correlation - write the conclusion If the P-Value is greater than the significance level, fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation. If the P-Value is less than the significance level, reject the null hypothesis and conclude that there is sufficient evidence to support the claim of a linear correlation.

Step 1, Hypothesis Test for Correlation Hypotheses - Requirements. Look at a scatterplot such as the one below from the shoe size data. Is there some form of linear pattern? 190 Height (cm) 185 180 175 170 25 26 27 28 29 30 31 32 33 34 35 Shoe Print (cm) Step 2, Hypothesis Test for Correlation Hypotheses - Formal Statements (There is no linear correlation.) (There is linear correlation.) Ho: p = 0 Ho: p = 0 Step 3, Hypothesis Test for Correlation - test statistic Technology will provide a T score for the data. Write down this value on your paper. Step 4, Hypothesis Test for Correlation - p-value Step 5, Hypothesis Test for Correlation - write the conclusion If the P-Value is greater than the significance level, fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation. If the P-Value is less than the significance level, reject the null hypothesis and conclude that there is sufficient evidence to support the claim of a linear correlation.

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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