# pearson-r's questions - English 1answer

356 pearson-r questions.

### 4 How to Test the Difference between 2 Sets of Pearson Correlations?

Suppose I have two sets of Pearson correlation coefficients -- call them set A & set B, and they are of the same size. How do I systematically compare the correlations in A against B? E.g., I want ...

### Correlations between a mix of ratio/dichotomous independent variable vs a mix of dichotomous / ratio outcomes

0 answers, 10 views correlation pearson-r spearman-rho
Heres the background, there are a large number of students who enrolled in a very challenging course where it's normal for the drop out rate to be pretty high. Now the school wants to introduce an ...

### correlation and independence: common mistake?

Almost everywhere I read If the variables are independent, Pearson's correlation coefficient is 0 I understand that correlation gives information only for linear dependence/independence variables ...

### 3 Is Spearman correlation never greater than Pearson correlation?

2 answers, 480 views correlation pearson-r spearman-rho
If Spearman correlation is Pearson correlation, but on ranks of the data - does it mean that absolute Spearman will always be lower or equal to absolute Pearson correlation, but never greater? Is it ...

### 3 Correlation coefficient on binary variables

0 answers, 17 views correlation chi-squared pearson-r
I have two binary variables and want to test their association. From what I've read I need to use the chi-squared ($χ^2$) test. The measure of their association is then described through the Phi ...

### 3 Mantel test vs. Pearson's correlation coefficient

1 answers, 758 views correlation pearson-r
Why is it correct not to measure the correlation between two distance matrices by calculating the Pearson's correlation coefficient between all distance pairs but to use the Mantel test instead? Edit:...

### 1 Comparing sample correlation coefficient with population correlation coefficient

0 answers, 13 views correlation sample pearson-r population
Assume there is a population, P, of size N. Each member of the population has three variables associated with it, a nominal variable C (with m unique categories), and two continuous variables X and Y....

### 2 how to analyze necessary/sufficient relationship?

I'm a second year psych grad student. From my fascination with formal logic, I wondered (just personal; not homework) about how to statistically establish necessary/sufficient relationships between ...

### 1 Testing the significance between two correlations in Python.

0 answers, 22 views correlation python bootstrap pearson-r
I've seen some similar articles using R but I'm not sure how to implement this test in python. Suppose I have two datasets, A and B (both contain 35 datapoints), and they predict some time series of ...

### Pearson Correlation with multiple observations per each level of independent variable

0 answers, 466 views correlation repeated-measures pearson-r
I am giving different doses of a drug to mice and measuring a quantitative response. I want to determine if there is a linear relationship between the dose of the drug and the response. Pearson ...

### 1 In what instance would r, R, and β be the same? [closed]

I understand that r tells us the strength of the linear relationship between two variables, R shows how closely two variables, and β shows which dependent variables would change if we change the ...

### 84 What is the difference between linear regression on y with x and x with y?

7 answers, 151.820 views regression correlation linear-model pearson-r
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 ...

### 1 What is the difference between each predictor's standardized betas (from multiple regression) and it's Pearson's correlation coefficient?

Say we have a multiple regression model with three predictors and one outcome variable. Each predictor has it's associated standardized beta, which tells you how many standard deviations the outcome ...

### 2 Correlation between a continous and integer variable

2 answers, 228 views correlation pearson-r spearman-rho
I would like to calculate the correlation between two variables. The first variable is continous and represents a performance measure. The second variable is an integer in the range from one to nine ...

### Continuous measure of similarity between two time series

I have two time series, spanning about 2.5k observations each. One series is observed values, the other one is predicted values based on a simple linear regression model. Both time series share the ...

### P-Values: Pearson Correlation and T-tests

0 answers, 29 views t-test p-value pearson-r
I am trying to draw some statistics out of correlation data and want to better understand two different ways in particular for determining 'significance'... I am not a statistician and have limited ...

### How to calculate Mean Sample-Based Reliability Estimates Used for Analyses

I am conducting a meta analysis of Pearson's r , of correlations presented between test scores and job performance ratings. I need to present an uncorrected effect size and an effect size corrected ...

### Average sample size of two fishers z correlations

I am conducting a meta analysis of Pearson's r correlations. As there are two correlations , sometimes three , for the same study and dependent variable I have averaged the correlations via fishers z ...

### Averaging of two or more standard erros

I have calculated two standard errors for two fishers z correlations from the same study , both measuring the same variable. Is it acceptable for me to average the two standard errors into one? If so ,...

### Average sample size from combined correlations in fishers z [duplicate]

0 answers, 9 views sample-size meta-analysis pearson-r
I have combined several correlations into fishers z scores for meta analysis. Most of the combined correlations are measuring the same construct within the same study. I now need to calculate the ...

### 2 A visual explanation regarding a generalised Pearson's correlation for two variables

This is a textbook exercise that might be seen as a generalisation of Pearson's product-moment correlation coefficient between two variables, with multiple groups each having variable sizes: Let ...

### Calculating variance from standard error of pearsons r correlations z scores [duplicate]

0 answers, 18 views variance meta-analysis pearson-r
I understand that to calculate the standard error of a pearsons r correlation converted to a z score you follow - 1 / (√N−3) But how do you calculate the variance from the standard error please? I ...

### calculating corrected mean population level estimates of criterion-related validity

0 answers, 12 views correlation mean meta-analysis pearson-r
I am conducting a meta - analysis of pearsons r correlations.I am wondering how I calculate corrected mean population level estimates of the criterion-related validity of each construct domain please? ...

### Independent & non independent effect sizes/correlations for meta analysis

0 answers, 23 views meta-analysis pearson-r
I am conducting a meta analysis of pearsons r correlations and would like to double check my understanding of independent and non- independent effect sizes/correlations. Am I correct in understanding ...

### How to calculate Inverse variance weight of several pearsons r correlations

1 answers, 41 views meta-analysis pearson-r
I have a set of pearsons r effect sizes , converted to fishers z scores for meta analysis. I am wondering what data I need to calculate an inverse variance weight for each effect size and how I ...

### use of pearson's correlation number to identify clustered data

0 answers, 9 views correlation python pearson-r
I have the following problem: I have a dataset of X,Y points and i want to apply a clustering algorithm (in Python) to this dataset. I am trying to find a clever way to avoid applying the clustering ...

### 2 Contrasting effects on correlation between two variables with increase or change in dataset

I am trying to analyze two variables: Currency exchange rate and Stock price of a company. I am computing the correlation between them to determine whether the currency exchange rate has some effect ...

### can you transform spearmans r into pearsons r for meta analysis

my meta analysis involves the calculation of overall effect size based on pearsons r correlations within studies. I am already converting the pearsons r to fishers z scores for analysis but I have a ...

### 5 Direction of correlation

There are two interdependent variables - experience and fun. Using a correlation, we can only say how fun and experience are related, and the strength of the relationship. My question is how do I ...

### 16 Analogy of Pearson correlation for 3 variables

3 answers, 6.569 views correlation pearson-r
I am interested in whether or not a "correlation" of three variables is something, and if what, what would this be? Pearson product moment correlation coefficient \frac{\mathrm{E}\{(X-\mu_X)(Y-\...

### Correlation and then a multiple regression

I have used a pearson correlation to see if certain variables that other people have found to predict the Dependent variable do occur (so I can use them as covariates later on). I then wanted to do a ...

### 3 A way to show Simpson's paradox is happening in the data

I'm not entirely sure what I am talking about is Simpson's paradox, because an opposite relationship does not appear when you combine two data sets, but merely a different one. Still, I think it is ...

### Estimating values knowing their Pearon's r and their means and standard deviations

1 answers, 47 views r correlation prediction pearson-r
I apologize if my question is exceedingly simple. Imagine, for example, I am studying a paper which explains that two variables correlate with a certain Pearson's r (no p-value, no confidence interval,...

### 1 Is it possible to calculate an average correlation of r from several correlations of r? [duplicate]

0 answers, 46 views correlation meta-analysis pearson-r
Any help would be appreciated. I have a table presenting multiple r correlations between various formats of the same test and the construct/dimensions it purports to measure. Is there an acceptable ...

### Should I calculate RSS using regression of identity line instead of Estimated values?

I have two paired datasets, one of them has linearly increasing ground-truth fat values (let's call it Ftrue) and the other has fat estimation values trying to guess the first ones (call it Fest), ...

### Correlation with price-earning ratio as variable with both positive and negative values

0 answers, 13 views correlation pearson-r spearman-rho
I would like to measure the correlation between price-earnings ratio and various other values. The price-earnings ratio has both positive and negative values in the study In general, the smaller the ...

### 1 Difference between cross-correlation and Pearson / Spearman

I'm trying to find the best way to look for common trends in 10 time-series that I have. I'm confused by what I'm reading regarding the best way to go about this. I see people talking about the ...

### Pearson correlation with missing values

I am trying to correlate dendrochronological data with climate data. The first one is acquired directly from trees, the second one from various stations from around the world. According to the formula ...

### Derive Spearman correlation (rather than Pearson's) coefficient from a univariate regression?

In univariate regression, the standardized coefficient is equal to the Pearson correlation coefficient. When the two variables are ranked variables, Spearman correlation would be appropriate. Is it ...

### 1 What are the original assumptions for Pearson's correlation coefficient?

I think I've found the original paper from Pearson on correlation coefficients (equation on p 279, also cited here), but I'm not sure it's the right one. Pearson mentions normality multiple times in ...

### 11 What does r, r squared and residual standard deviation tell us about a linear relationship?

Little background I'm working on the interpretation of regression analysis but I get really confused about the meaning of r, r squared and residual standard deviation. I know the definitions: ...

### Correlation between event and number of hits

I want to ascertain the correlation between the number of google search hits for a topic over a 7 day period before and after an awareness day for that topic. I then need to compare this correlation ...

### 3 Interpretation of the Pearson Correlation with respect to Z-Scores

I'm TAing an introductory statistics course, and we're getting questions about a line from the students' SPSS lab guide. It has to do with interpreting Pearson's r, and I've never quite seen it ...

### 1 Consider an ordinal variable as continuos for correlation with a continous variable

I need to analyse the results of a survey. Among the different questions I have: "How happy did you feel last month"?. There are 5 possible answers: Not at all Not very Somewhat Very Completely Now,...

### Shared variance

How much greater is the shared variance between two variables if the Pearson correlation coefficient between them is -.4 than if it is .2? Can someone help me understand how to calculate this?

### Adjust coefficient pearson as CNN loss function

I am trying to create a CNN (using python Keras) that runs on medical images of cancer and classifies them as cancerous or not. (Sample sizes vary between 30,000-280,000 on each trial run). As an ...

### How to know whether Pearson's or Spearman's correlation is better to use?

I have this question that is really confusing. I already know that Pearson is used for normal distribution and Spearman for the opposite, but how do we apply this to the question? As you can see, ...

### 1 (Non-)linearity and correlation (Pearson v. Spearman and Kendall)

I am a bit confused about how to interpret correlation coefficient results. I am aware that there are numerous questions about the differences between Pearson, Spearman, and Kendall, but I am more ...

### Finding p-value and t-value for non-normal distributed datasets (multiple dataframes)

0 answers, 14 views correlation python pearson-r scipy numpy
I'm currently working on a project that involves using data from 9 different dataframes. Each dataframe contains 58 rows and 8 columns, and they each contain different data (i.e. Unemployment Rate, ...

### 1 Higher Spearman but lower Pearson correlation?

I recently engineered a replacement for one of the most important features in my production model. This replacement makes more intuitive sense than the current version of the feature, and I was ...