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.
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'Fixing' PearsonFitML to fit to a Pearson V distribution
I am using the pearsonFitML function in the PearsonDS package to do maximum likelihood estimation of parameters in R.
I am particularly interested in fitting Pearson Type 5 distributions to my data. ...
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Bonferroni correction with Pearson's correlation and linear regression
I am running stats on $5$ IVs ($5$ personality traits, extroversion, agreeableness, conscientiousness, neuroticism, openness) against $3$ DVs Attitude to PCT, Attitude to CBT, Attitude to PCT vs CBT. ...
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Why don't the results of testing $H_0 : \beta = 0$ and $H_0 : {\rm cor}(X,Y)=0$ agree?
I have 4 IVs in my model that directly effect the DV.
The results of the correlation & regression analyses showed that:
IV1&DV:
Pearson Correlation Coefficient: insignificant
Regression ...
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Basis of Pearson correlation coefficient
Pearson correlation coefficient is calculated using the formula $r = \frac{cov(X,Y)}{\sqrt{var(X)} \sqrt{var(Y)}}$. How does this formula contain the information that the two variates $X$ and $Y$ are ...
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Parametric or non-parametric tests? ... or transformation?
I am using R to examine the relationship between two variables in a small data set ($n=16$).
My problem is that I'm not really sure how to handle the analysis (read: I'm in deeper waters than I've ...
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How is it correct to deduce significance level of Pearson's correlation from a table?
this is a rather elemental question, but any help would be appreciated anyway.
This webpage gives a method of finding the p-value of Pearson's correlation coefficient, using a table. However, the ...
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Characteristics of the surviving mice Experiment
Could someone help me sort through my experiment? I had a couple classes in statistics several years ago and I've let most of it slip.
Could someone provide statistical insight a better way to analyze ...
user11279
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What does it indicate when the Spearman correlation is a definite amount less than Pearson?
I have a bunch of related datasets. The pearson correlations between pairs of them are typically definitely larger than the spearman correlations. That suggests any correlation is linear, but one ...
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Taking correlation before or after log-transformation of variables
Is there a general principle on whether one should compute pearson correlation for two random variables X and Y before taking their log transform or after? Is there a procedure to test which is more ...
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What is the difference between linear regression on y with x and x with y?
The Pearson correlation coefficient of x and y is the same, whether you compute pearson(x, y) or pearson(y, x). This suggests that doing a linear regression of y given x or x given y should be the ...
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Issues on computing Pearson correlation coefficient for two vectors
When computing the Pearson correlation coefficient between a vector $X = \{x_1,...,x_n\}$ and a vector $Y = \{y_1,...,y_n\}$, we need to compute it as
$$\frac{1}{n}\sum_{i=1}^{i=n}(x_i-\bar{x})(y_i-\...
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What can I do beyond Pearson correlation?
While checking to see whether two variables were correlated, I observed that applying Pearson correlation yielded numbers as low as 0.1 indicating no correlation. Is there anything I can do to ...
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How to choose between Pearson and Spearman correlation?
How do I know when to choose between Spearman's $\rho$ and Pearson's $r$? My variable includes satisfaction and the scores were interpreted using the sum of the scores. However, these scores could ...
user3636
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Pearson's or Spearman's correlation with non-normal data
I get this question frequently enough in my statistics consulting work, that I thought I'd post it here. I have an answer, which is posted below, but I was keen to hear what others have to say.
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