0
votes
0answers
23 views

The meaning of correlation coefficient and p-value

I found the following quote in a study, but I'm not sure exactly what it means: Using linear regression, the immunization schedules of these 34 nations were examined and a correlation ...
0
votes
1answer
46 views

Determine Patterns

I have some weather data that I would like to analyze. I have about a millions rows of data, and each row has about 100 attribute values. Each attribute value represents some measurement (i.e., ...
0
votes
0answers
14 views

We are trying to find the correlation between Stock Price index and Natural Disasters. I dont know what Statistical Method To use. [migrated]

Can someone help me identify what statistical method ( or any method ) that i can use to correlate the effects of natural disasters on Stock Market Index.
0
votes
1answer
31 views

Regression with Mean, Standard Deviation, Range and Correlation

A research team collected data on students in a statistics course. Their dependent variable was the student’s score on the final examination, which ranged from 200 to 800 points. The observed average ...
1
vote
1answer
30 views

Sample Size for Correlation Testing

A research team wishes to test the null hypothesis: $H_0, r=0$ at $\alpha = 0.025$ against the alternative: $H_1, r>0$ using Fisher’s transformation of the Pearson product moment correlation ...
0
votes
1answer
18 views

Work out if the relationship between 2 datasets is constant

I have 2 one-dimensional datasets, let's call them a and b. I want to know the correlation between ...
1
vote
1answer
26 views

What test should I use to statistically compare two intraclass correlation coefficients (ICC)?

I need to compare two generalizability (G) coefficients for data that are from two separate populations. G coefficients are a type of intraclass correlation coefficient (ICC). The literature on ...
0
votes
0answers
13 views

Correlation Statistic with a neutral score

I'm trying to develop a correlation statistic to compare lines/random variables (represented as a series of points). I want the correlation value to convey little information if one the lines is a ...
0
votes
0answers
14 views

Difference between Kendall tau distance and Kendall tau rank correlation coefficient

What is the difference between Kendall tau distance and Kendall tau rank correlation coefficient? Which one I should use to calculate how similar two arbitrary permutations of ranks are? Suppose, we ...
2
votes
0answers
36 views

Expectation and convolution question.

I am learning in an image processing course, and the professor did the following: As part of a derivation, has this: What I do not understand, is how he was able to remove $r(i,j)$ to the ...
0
votes
0answers
13 views

factor analysis for given data

suppose that we have following data i have done covariance matrix and eigenvalue decomposition ...
0
votes
0answers
26 views

Multiple correlation

My question is very elementary. I need to implement a software that computes the multiple correlation of a set of datas that I have. In order to do that, I need would like to find the generic formula ...
0
votes
1answer
19 views

Does correlation have to be in the context of (Gaussian) normal distribution?

I am not quite familiar with the concept of correlation. The Pearson's correlation coefficient is defined as: $\rho_{X,Y}=\mathrm{corr}(X,Y)={\mathrm{cov}(X,Y) \over \sigma_X \sigma_Y} ...
0
votes
1answer
27 views

How to calculate the HHG (Heller Heller Gorfine) correlation

HHG (A consistent multivariate test of association based on ranks of distances) is introduced in: Heller, R., Heller, Y., & Gorfine, M. (2012b). A consistent multivariate test of association ...
0
votes
1answer
33 views

Correlation with many zero values

I have data for selling books from 2 bookstores for 100 days. For the first 90 days, no book was sold. Then the following books were sold Day# - BookStore1 - BookStore2 Day1 - 0 - 0 ...
0
votes
2answers
25 views

Strong vs weak relationship in this correlation

I produced this plot and regression line in R and I thought my results were quite odd. Is the relationship of the correlation determined by how steep the regression line is? So in this case it isn't ...
1
vote
1answer
97 views

How to explain tie-correction for Spearman's Rank Correlation?

In Mathematics at my college we are being taught correlation in which when there are ties in ranks we take average rank for all of the ties and then total correction factor is added summation of ...
0
votes
1answer
51 views

graph in excel to represent correlation of 3 parameters

I have some data in excel and I would like to make a graphical representation of those data. Structure of my data: persons ID : from 1 to 485 to every person, there is one parameter like average ...
0
votes
1answer
43 views

Correct way to evaluate correlation of a computer model with multiple human annotator scores

I have posted this question to CrossValidated without lack. If anyone from this community can give some insights, I would be really grateful. Assume we have 3 annotators, each one of which has ...
0
votes
2answers
31 views

Showing $Cor(X,Y) = 1$ if $a>0$ and $-1$ if $a<0$

Suppose X and Y are random variables such that $Y=aX+b$ and $a$ and $b$ are constants. Show that $Cor(X,Y) = \begin{cases} +1 &\mbox{if } a > 0 \\ -1 & \mbox{if } a < 0. \end{cases}$ ...
2
votes
0answers
23 views

correlation estimator

Suppose I have independent variables $X$ and $Y$ which follows exponential distribution with parameter $\lambda$. I want to find the variance of correlation estimator $\hat{\rho}$ which is defined as: ...
0
votes
0answers
17 views

stats project - good model, what to do with it?

I've recently been working on a stats project for school. I have been comparing a country's 'quality of life index' with 'moral' opinions survey to see if there are relations. Here's some example ...
0
votes
1answer
21 views

correlation between two series

let us consider following two series $$y[t]=a_1\sin(\omega_1 t + \phi_1) + a_2\sin(\omega_2 t + \phi_2)+ \cdots + a_p\sin(\omega_p t+\phi_p) + z_1(t)$$ and $$y_1 [t] = A_1(\sin(\omega_1 t+\phi_1) ...
0
votes
1answer
37 views

Fair Coin Covariance

Consider an experiment in which three fair dice are tossed simultaneously and independently. Let $Z_1,Z_2,Z_3$ be the values resulting from the three tosses. Define $X=Z_{21}+Z_{22}−Z_{33}$ and ...
0
votes
0answers
19 views

Cross correlation computations

What are useful ways/formula for calculating sample cross correlations (i.e. correlation factors between individual components of two different random variables). Say I have two sample matrices, $X$ ...
1
vote
0answers
66 views

Generate correlated random numbers precisely

Let's assume I want to generate k samples of n random numbers, that are correlated according to a given correlation matrix C (e.g. $n = 3$): ...
0
votes
0answers
25 views

Condition number of covariance matrix

I am interested in generating a covariance matrix of dimension say 100. I managed to get a correlation matrix with finite condition number. To construct a covariance matrix I need to have standard ...
1
vote
4answers
401 views

Inferring covariance cov[X,Z] from cov[X,Y] and cov[Y,Z] of known distributions

Suppose X, Y and Z are real random variables of known distributions. If one knows the covariance $COV(X,Y)$ and $COV(Y,Z)$, is it possible to infer $COV(X,Z)$?
0
votes
0answers
20 views

Weighted Pearsons Correlation

I am a software engineer so please bare with me. I am currently calculating the ppmc coefficient of a series of data over unequal time periods. I wish to weight data that was recorded within the last ...
0
votes
1answer
147 views

Correlation between complex random variables

I am struggling to find the correlation between two complex r.vs; X and 1/Y i.e. E{X*/Y}, where '*' denotes the conjugation operator. The complex r.s X and Y are correlated with each other with known ...
0
votes
1answer
32 views

Estimate correlation coefficient of unknown variable

Consider variable y depends on variable x and z linearly. I have $100$ sample values of $y$ and corresponding $x$ but don't have any values of $z$. The functional model is $$y = \alpha_1x + \alpha_2z ...
1
vote
1answer
88 views

Correlation Coefficient Distribution Function: An Apparent Discrepancy?

I'd like to explain an apparent discrepancy between: (1) The sample correlation distribution function between sample vectors for a bivariate, correlated random variable (correlation coefficient = ...
0
votes
0answers
18 views

Principal Component Regression

Suppose that Z1, Z2 and Z3 are the principal components of a data set and Y is a vector of the response variable. The correlation coecients between Y and Z1, Z2 and Z3 are 0.25, -0.4 and 0.7, ...
0
votes
0answers
13 views

Indepedence of sample means of two orthogonal Gaussian vectors?

Suppose $\boldsymbol{x}_{1}$ and $\boldsymbol{x}_{2}$ are Gaussian vectors with each distinct but arbitrary means and covariances, i.e., the elements of each vector are generally intra-correlated. ...
2
votes
1answer
277 views

Maximum and minimum Correlation Coefficient

I have a question regarding the correlation coefficient. The inspiration is from a story where a student collected a set of $(X,Y)$ pairs, but lost the pairings. Hence, he is left with two sets of ...
2
votes
2answers
89 views

Given X and Y are correlated and Y and Z are correlated what is the range of correlation between X and Z?

How can I calculate the range of correlation of two variables X and Z given I have the correlations of X and Y, and Y and Z? I've found a few resources around, namely this, but I'd like a research ...
0
votes
2answers
124 views

If $E(Y\mid X)$ is constant then $X, Y$ are uncorrelated.

Last minute studying please tell me how to: Prove that if the expected conditional expected value of the random variable $X$ given the random variable $Y$ - denoted by $E(X\mid Y)$ - is constant ...
0
votes
2answers
43 views

Finding a Correlation between Bernoulli Variables?

Let X and Y be Bernoulli random variables. We don't assume independence or identical distribution, but we do assume that all 4 of the following probabilities are nonzero. Let a := P[X = 1, Y = 1], b ...
0
votes
1answer
51 views

Compute for Cov(X,Y) and Correlation(X,Y)

Let $(X, Y)$ be uniform on the half disc $D = \{(x, y) : 0 < y, x2 + y2 < 1\}$. How should I approach this problem. Should I solve double integral with inside goes from $-\sqrt1-x^2$ to ...
0
votes
0answers
25 views

Normalized cross-correlation in detail

I'm trying to implement a normalized cross-correlation algorithm but I don't get what in fact is this measure. What confuses is the wikipedia definition: $\frac{1}{n} \sum \frac{(f(x,y)- ...
1
vote
1answer
66 views

Interval of non-uniformly distributed set of numbers adjusted that it properly excludes extremes

Let's say I have an interval of numbers from 1 to 9 with the following frequency of distribution: numbers 1, 2 and 3 about 20 occurrences number 6 has 2 occurrences and number 9 has only ...
0
votes
0answers
47 views

calculate direct and indirect path coefficients

suppose we have following data wth mean and standard derivation corresponding ...
1
vote
0answers
48 views

Multiple regression and hypothesis test $H_0$:$\beta_2=0$

Multiple regression model $H_0$:$\beta_2=0$, $H_1$:$\beta_2 \neq 0$ where $\beta_2$ is the vector of elements ($\beta_2, \beta_3, \dots, \beta_k$) and $\beta$ is slope of regression line. Why it is ...
1
vote
0answers
47 views

Redundancies in covariance matrix

We know that covariance matrix is symmetrical. I have a vague intuition that there may be some other redundancies beyond that. For example, if A is correlated to B and B is correlated to C then A and ...
1
vote
1answer
60 views

A question about Pearson correlation coefficient

Suppose that we have two vectors $x=(x_1,\ldots,x_n),y=(y_1,\ldots,y_n)$ is the following correct about their Pearson correlation coefficient? $\operatorname{corr}(x,y)=\operatorname{corr}(x+a,y+b)$ ...
0
votes
1answer
30 views

Curve Fitting and Multiple Experiments

Say I do an an experiment 5 times, each of which gives you a list of data points. Do I fit a curve to each one separately and then average the parameters and their uncertainties? Or do I take the ...
0
votes
0answers
205 views

Weighted least squares linear regression formulas using arbitrary weights

Say I have $n$ data points where each point has an $x$ value, a $y$ value, and an arbitrary weight value, $w$. The weight value is between $0$ and $1$, where $1$ means the data point will fully affect ...
1
vote
1answer
99 views

Correlation of sums of correlated variables

I'm trying to work out an expression for a correlation of the weighted sums of two r.v.'s with a third r.v. To be precise, I have a trivariate normal distribution: $$\{X,Y,Z\}\approx ...
0
votes
1answer
252 views

Proving $Y = aX + b$ given correlation coefficient $|\rho(X, Y)| = 1$

With correlation coefficient defined as: $$\rho(X, Y) = \frac{\text{Cov}(X, Y)}{\sqrt{\text{Var}(X)}\sqrt{\text{Var}(Y)}}$$ can you help me prove $$|\rho(X, Y)| = 1 \implies Y = aX + b$$
0
votes
1answer
90 views

Finding parameters for curve fitting

I have 500 observed data of variable $ x $ and corresponding $ y $. The functional model is where Is it possible to find suitable constants $ A , B $ ,$ \alpha , \beta $ so that the observed ...