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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Please finish the R code to conduct the hypothesis testing. I need the code for the p-value for the F test, tstat, and the p value for tstat. Write the conclusion to the hypothesis testing once completed. # Example 11.1# simple linear regression# H0: B=0 (there is no linear correlation)# H1: B≠0 (there is a linear correlation)data <- data.frame(estriol=c(7,9,9,12,14,16,16,14,16,16,17,19,21,24,15,16,17,25,27,15,15,15,16,19,18,17,18,20,22,25,24),birthweight=c(25,25,25,27,27,27,24,30,30,31,30,31,30,28,32,32,32,32,34,34,34,35,35,34,35,36,37,38,40,39,43))linear <- lm(birthweight~estriol, data = data)summary(linear)# This gives the results for a and b and the F statistic. # Call:# lm(formula = birthweight ~ estriol, data = data)# # Residuals:# Min 1Q Median 3Q Max # -8.1200 -2.0381 -0.0381 3.3537 6.8800 # # Coefficients:# Estimate Std. Error t value Pr(>|t|) # (Intercept) 21.5234 2.6204 8.214 4.68e-09 ***# estriol 0.6082 0.1468 4.143…
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Consider the following passage: I ran a regression, with many variables to predict the result of another variable which was the murder rate. One can see that lots of things, can cause the murder rate to increase or decrease. I tried to account for all the important factors, and those factors are the SAT scores, unemployment rate, and international migration per 1,000. The SAT score is, average combined total score participants did on the SAT exam. The unemployment rate is, "a measure of the prevalence of unemployment and it is calculated as a percentage by dividing the number of unemployed individuals by all individuals currently in the labor force." (Wikipedia) International migration per 1,000 is, the number of people who come into a state from other countries per 1,000 people who live in the state. After I run the regression I will look at the t scores and p values and I should hopefully conclude that international migration does not cause crime. Which writing mistakes, if any, did…
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True or false? If the statement is false, use one or two sentences to justify your answer.
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