Select a significance level α and reject the null-hypothesis if the p-value is less than α. Explain, in complete sentences, your findings: Is there a statistically significant association (at α level) between the provided genes? What is the magnitude and the direction of the association? > # correlation coefficient> # Using cor () method> result = cor (x, y, method> # Print the resultcat ("Person correlation coefficient is:", result)Person correlation coefficient is: 0.041179"pearson")> # Using cor.test() method> res = cor.test(x, y, method = "pearson")> print (res)Pearson's product-moment correlationdata: x and yt = 1. 8878, df = 2098, p-value = 0.0592alternative hypothes is: true correlation is not equal to o95 percent confidence interval:-0. 001598205 0.083805769sample estimates:cor0.041179

Correlation: The correlation coefficient explains the relationship between two quantitative…

Select a significance level α and reject the null-hypothesis if the p-value is less than α. Explain, in complete sentences, your findings: Is there a statistically significant association (at α level) between the provided genes? What is the magnitude and the direction of the association?

Select a significance level α and reject the null-hypothesis if the p-value is less than α. Explain, in complete sentences, your findings: Is there a statistically significant association (at α level) between the provided genes? What is the magnitude and the direction of the association?

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015

1st Edition

ISBN:9781680331141

Author:HOUGHTON MIFFLIN HARCOURT

Publisher:HOUGHTON MIFFLIN HARCOURT

Chapter4: Writing Linear Equations

Section: Chapter Questions

Problem 14CR

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Question

> # correlation coefficient
> # Using cor () method
> result = cor (x, y, method
> # Print the result
cat ("Person correlation coefficient is:", result)
Person correlation coefficient is: 0.041179
"pearson")
> # Using cor.test() method
> res = cor.test(x, y, method = "pearson")
> print (res)
Pearson's product-moment correlation
data: x and y
t = 1. 8878, df = 2098, p-value = 0.0592
alternative hypothes is: true correlation is not equal to o
95 percent confidence interval:
-0. 001598205 0.083805769
sample estimates:
cor
0.041179

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