**356 pearson-r questions.**

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 ...

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 ...

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 ...

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 ...

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 ...

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:...

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....

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ,...

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 ...

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 ...

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 ...

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?
...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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-\...

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 ...

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 ...

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,...

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 ...

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), ...

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 ...

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 ...

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 ...

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 ...

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 ...

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:
...

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 ...

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 ...

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,...

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?

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 ...

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, ...

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 ...

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, ...

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 ...

- correlation
- spearman-rho
- regression
- r
- multiple-regression
- time-series
- p-value
- statistical-significance
- meta-analysis
- spss
- kendall-tau
- hypothesis-testing
- self-study
- variance
- chi-squared
- confidence-interval
- r-squared
- t-test
- python
- bootstrap
- normal-distribution
- categorical-data
- mean
- descriptive-statistics
- regression-coefficients

- Encode - Shuffle - Decode
- How safe is the Boeing 737-800 in high winds?
- What is the origin of 3 meals a day?
- Timestamps of files copied to USB drive
- Protecting bicycle from sea/salty water
- Why don't Vulcans just take the pills?
- Has there ever been a peaceful overthrow of a monarch?
- Alternative source of fuel instead of wood
- Trying to figure out the difference between pronouncing short o and short u
- What does や after someone's name mean exactly?
- Boot from USB without use of SD card at all?
- Examples of plant families that contain species that are safe for human consumption and species that are poisonous to humans?
- Series of Squares Under Triangle
- Russian spelled by a German
- Rotated Normal Distribution
- Does leaving your laptop powered on unsuspended and moving it around risk damaging the hardware?
- Why auto-renew instead of canceling the subscription after free-trial?
- Googling my name reveals silly things from when I was younger. I am embarassed. How will this affect me in my future academic career?
- Was Ginny really used as bait because she was Ron's sister?
- Why can't you take a hoverboard on a plane?
- Did personal computers ever support 8" floppies?
- What are the biggest pitfalls to avoid with student loans?
- Is this houserule preventing effects from dropping creatures to below 1 HP if they make their save exploitable or broken?
- Why is Visual Studio Community 2017 C++ standard is C++98?