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Questions tagged [pearson-r]

The Pearson product-moment correlation coefficient is a measure of the linear relationship between two variables $X$ and $Y$, giving a value between +1 and −1.

4 votes
2 answers
504 views

I understand that Spearman correlation is broader than Pearson correlation (monotone vs linear). However, in the specific case of two correlated normal distributions, is there a 1 to 1 relationship, i....
ricewhitlam's user avatar
1 vote
0 answers
45 views

For N participants I have M measures. I compute the NxN correlation matrix, in which the i,j element will tell me how the measures for participant i correlate with those from participant j. Now I want ...
fabiob's user avatar
  • 762
8 votes
4 answers
2k views

I'm working on calibrating air quality sensor data using a multivariate regression model (Lasso), with predictors like raw PM2.5, humidity, and temperature. After fitting the model, I compared: ...
Anand's user avatar
  • 81
0 votes
0 answers
45 views

I am reviewing the paper Sample Size Calculations for Studies with Correlated Observations by Liu and Liang (1997). The authors have used generalized estimating equations and propose a test statistic ...
Muneeb Wani's user avatar
0 votes
0 answers
70 views

For Pearson correlations one can easily determine the p values for one tailed tests from the p values of two tailed tests by p1tailed, predicted direction = 1/2 * p2tailed p1tailed, opposite ...
Mr Pi's user avatar
  • 1,407
1 vote
0 answers
57 views

I saw here in the answer to this question that the correlation coefficient between $X$ and $Y$ is interpreted as the number of standard deviations that $Y$ changes when $X$ changes in one standard ...
Santiago Valdivieso's user avatar
1 vote
1 answer
110 views

My data are ordinal Pearson chi squared test value is 4.664 And asymp sig is 0.97 so the data are independent However pearson's R =-0.309 And the approx sig=0.037 Can they be independent and ...
Simona ysf's user avatar
1 vote
0 answers
80 views

In Aldrich (2005), and specifically in sections 10 and 11, the author describes the sufficient statistic for the parameter $\beta$ in the simple regression of random $Y$ on fixed $X$, with a bivariate ...
virtuolie's user avatar
  • 862

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