For questions about correlation of two random variables. Use it with [tag: random-variables] and [tag: probability].

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2answers
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Variance of the sum of correlated variables

If the variance of two correlated variables is: $$Var(r_1+r_2)=\sigma^2_1+\sigma^2_2+2\textrm{cov}(r_1,r_2)=\sigma^2_1+\sigma^2_2+2\rho\sigma_1\sigma_2$$ where $r_1$ and $r_2$ are vectors, then what ...
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1answer
30 views

Given the correlation matrix, estimate the value of a random variable based on the value of other random variables. [on hold]

A process generates $N$ random variables $(X_i \mid 1 \leq i \leq N)$. The process is run $K$ times, and the values of each random variable $X_i$ is observed. Based on this data, the following ...
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2answers
109 views

Is a correlation matrix with positive determinant PSD?

Please note: I'm not interested in the difference between positive definiteness and semi-definiteness for this question. A correlation matrix is a symmetric positive semi-definite matrix with 1s down ...
1
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1answer
42 views

Can I ignore multicolinearity problem if all the regression coefficients are highly significant?

Can I ignore multicolinearity problem if all the regression coefficients are highly significant? My data is large enough and all the resulting coefficients are significant enough in less than 0.01 ...
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1answer
1k views

Autocorrelation and spectral density in MATLAB

This question is twofold. We have an LTI system that is a first degree Butterworth LP filter with the power TF where fu = 110Hz and ...
3
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1answer
755 views

Pearson correlation and metric properties

Assuming that the data set was $z$-standardized to zero mean and unit variance (also assuming that it does not contain constant vectors). Then Pearson's r reduces to Covariance: $$\rho(X,Y) := \frac{...
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1answer
481 views

Relation between Correlation and Convolution

We have two functions of time $f(t)$ and $g(t)$, for which convolution and correlation are defined as following: Convolution: $(f(t)\ast g(t))(\tau) = \int_{-\infty}^\infty{f(t)g(\tau-t)dt}$ ...
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1answer
26 views

coefficient of determination: absence of cross products [closed]

With regard to the coefficient of determination, why is the total variation equal to the sum of the explained variation and the unexplained variation and there are no cross-products?
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0answers
11 views

statistical test for comparison of time series of rare events

I have two time series of a binary variable which assumes value 1 if an event happens and 0 otherwise. Both series report the occurrence of the same event and are not necessarily equal because the ...
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0answers
27 views

Show that $E(\mathrm{var}(Y|X)) \leq (1 - \mathrm{corr}(X,Y)^2) \mathrm{var}(Y)$

Expectation of conditional variance (Exercise 4.6.7 from Grimmett and Stirzaker): Let $X$ and $Y$ be random variables with correlation $\rho$. Show that $E(\mathrm{var}(Y|X)) \leq (1 - \rho^2) \mathrm{...
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1answer
46 views

How to simulate a delta-correlated random process

I'm trying to do the simulation described in the paper attached, but there is something I don't understand. The author says that the random variables which satisfy the relation (Eq. (4) in the paper) ...
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1answer
29 views

What is a deviation vector?

LINEAR ALGEBRA: I've looked online for this and can't find anything... What is a deviation vector and how do I compute them? (specifically how did my teacher get those vectors in part b?) Here is ...
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3answers
72 views

Find ratio / division between two numbers

I am reverse engineering custom software for a stepper motor. The original software eases in and out of any motion, and the duration of the ramping up to speed is directly related to the speed that ...
0
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1answer
14 views

Negative autocorrelation values

Autocorrelation is informally defined (Wikipedia article) as "the similarity between observations as a function of the time lag between them". I create the following time series in MATLAB: ...
0
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0answers
10 views

Finding a correlation between days on the market and seller rank

If you are given two variables, D = Days since a product was launched on amazon B = Bestseller Rank among a specific amazon product category How could you compare / rank a list of products based ...
2
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1answer
955 views

Probability of three events occurring given correlation?

I am facing a problem that I cannot find the answer to. I have three variables, A, B and C. There are only two possibilities for each of these, A either happens or it does not, B happens or it does ...
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0answers
4 views

Periodic Cross-Correlation vs Aperiodic Cross-Correlation

I am doing research in spread spectrum communication, and many papers frequently use the terms Periodic Cross-Correlation and Aperiodic Cross-Correlation. However, I cannot find a clear definition of ...
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0answers
14 views

$X$ and $Y$ are standardized r.v.s. Find $a,b,c,d$ such that $Z=aX+bY$ and $W=cX+dY$ are uncorrelated but still standardized.

Let $X$ and $Y$ be standardized r.v.s (i.e., marginally they each have mean $0$ and variance $1$) with correlation $\rho \in (−1, 1)$. Find $a, b, c, d$ (in terms of $\rho$) such that $Z = aX + bY$ ...
1
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1answer
37 views

Change of Uniform Continuous Variable

Let $X$ be a $U(-1, 1)$ random variable, we define $Y = X^4$. Calculate the correlation coefficient between both variables. Are they uncorrelated? PS. I don't know how to use MatJax equations, I'm ...
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2answers
34 views

How does the Pearson correlation coefficient change under rotations

I was reading on wikipedia about the pearson correlation coefficient. Assuming the data has zero mean it can be written as $$ \rho = \frac{ \sum x_i y_i } {\sqrt{\sum x_i^2 \sum y_i^2}} $$ The ...
0
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0answers
12 views

If all points lie on regression line, how is coefficient of correlation affected?

If all points lie on a regression line, what does that mean for the coefficient of correlation? Am I correct to say the coefficient of correlation is either -1, 0 or 1?
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2answers
70 views

Interpretation of correlation (coefficient)

In an discussion we were confronted with a very special opinion about correlation in respect of financial assets. The widely used correlation coefficient is used here to give an idea about how ...
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0answers
47 views

How to generate correlated random numbers with specific distributions?

After read the answers of some similar questions on this site, e.g., Generate Correlated Normal Random Variables Generate correlated random numbers precisely I wonder whether such approaches can ...
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0answers
8 views

Why does the mean centered autocorrelation have a slope of -1?

I'm fundamentally not understanding something about the autocorrelation function (as defined by numpy.correlate). Let's say I create a bunch of random signals $s_1, ...
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1answer
6 views

Calculating person product moment correlation coefficient on a 3 X 3 table

Usually we are given problems that only involve 2 rows (x and y), but recently saw a problem asking how to compute the correlation coefficient on a table of data that has 3 rows and am not sure how to ...
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0answers
12 views

First and second moments of two correlated functions

I am trying to find the first and second moments of the following: $k=mk^{-b}$ where $m \sim U[a,b]$ (discrete) and $k^{-b}$ is a power law distribution I know how to find the first and second ...
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0answers
44 views

Formula of phase correlation

If I have two 2D signals, and one is the shift of another. I can propose such schema for define offset via continious Fourier Transform: $$f_2(x,y)=f_1(x-x_0,y-y_0)$$ Then $$Ff_2(s_1,s_2)=e^{-2\pi j(...
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1answer
20 views

Pearson product-moment correlation coefficient of a coin toss

A fair coin is tossed 3 times. Let $X$ be a random variable representing the number of $H$'s appeared in the first 2 tosses, $Y$ the number of $H$'s appeared in the last 2 tosses, and $Z$ the number ...
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1answer
28 views

Generating normal random variables with mean and variance [closed]

I wish to generate normals $X$, $Y$, and $Z$ with the correlation matrix $R$ but with means $0$, $1$, and $2$, as well as variances $4$, $16$, and $25$, respectively. How would you do this?
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0answers
23 views

Generaling dependent random variables

You wish to generate three standard normals $X, Y$ and $Z$ with correlation matrix given by $$R =\begin{pmatrix} 1.0 & 0.2 & 0.2 \\ 0.2 & 1.0 & 0.2 \\ 0.2 & 0.2 & 1.0 \end{...
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4answers
5k views

Correlation Coefficient and Determination Coefficient

I'm really new to linear regression and am trying to teach myself. In my textbook there's a problem that asks why $R^{2}$ in the regression of $Y$ on $X =$ the sample correlation between X and Y the ...
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2answers
29 views

Uncorrelated but not independent uniform distribution

Let $X = (X_1, X_2)$ be uniform distributed on $\{(-1,0), (1,0), (0,-1), (0,1)\}$. First of all I want to show that $X_1$ and $X_2$ are uncorrelated but not independent. Secondly I thought about ...
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0answers
10 views

Normalize and Average weighted

Everyday I receive a data of three variables (neutral, negative and positive). ...
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2answers
34 views

Correlation Coefficient of Random Variables

Question: My work for parts a and b: Now I'm stuck with part c and don't know where to go or how to get the answer from parts a and b. any help?
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0answers
26 views

Cross-correlation, Fourier transform and Laplace transform: measure of how much signal are alike?

I'm studying electrical engineering and use correlation, Fourier transform and Laplace transform a lot. I know how and when to use them, however, the interpretation I've seen in the lectures still ...
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0answers
63 views

Correlation function of an asymptotically stationary AR process

I have a great confusion with the autocorrelation function of an AR process. Its derivation usually follows in this way (Haykin, 2007): The difference equation for an AR(M) process, $u(n)$, is \...
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0answers
16 views

Simple and partial correlation

(i) The partial correlation coefficient $r_{12.3}=r_{12}-r_{13}r_{23}/(\sqrt{(1-r_{13}^2)(1-r_{23}^2)}$ and the simple correlation coefficient $r_{12}=\sum{(x_{i1}-\bar{x_1})(x_{i2}-\bar{x_2})/\sqrt{\...
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0answers
14 views

An example where pearson is wildy different to spearman? [duplicate]

Im looking to spearman and pearson, and from what i understand spearman is better at looking at curves. Can i see an example of a small set of data (10 or less) where this difference is large.
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0answers
14 views

An example of when pearson or regression analysis is drastically different to spearman?

Im looking into spearmans rank. I know pearson and regression struggles with curves, but does anyone have any example of when pearson or regression differs with spearman and what this means? Ideally ...
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1answer
26 views

What is the difference in how $\mathrm{R}^2$ and $\mathrm{R}$ values are interpreted?

In statistics, there is the $\mathrm{R}$ value for the product moment correlation coefficient and the $\mathrm{R}^2$ value for the coefficient of determination. In both cases they are described as a ...
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0answers
7 views

Correlation Coefficient in Latent Dirichlet Allocation

Can I use Correlation Coefficient to describe the relationship between two words in LDA? I know JS and KL divergence can give me the similarity between two words but can the similarity given from the ...
0
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1answer
23 views

Finding correlation Using only Expected values and Variance

I am doing an assignment and arrived at a question that I could not figure out and was hoping for some hints. Let X and Y be two random variables with common variance $a^2$ (a > 0). Suppose that $E (...
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0answers
19 views

Generate Correlated Normals

I want to generate normals $X,Y,Z$ with the correlation matrix $R$ but with means $0, 1, 2$ and variances $4, 16, 25$ respectively. How can I do this? Is it possible to apply Cholesky?
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2answers
16 views

Is this altered formula for correlation still bounded by $-1$ and $1$?

Recall that $$ ‐1 \le \text{corr}(X,Y) = \frac{\text{Cov}(X,Y)}{\sigma_X \sigma_Y} \le 1 $$ The proof for this bound uses the Cauchy Schwarz inequality, and I've been trying to wrap my head around ...
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3answers
34 views

Is it true that $\frac{E[(|X - E[X]|)(|Y - E[Y]|)]}{\sigma_X \sigma_Y} = 1$?

Consider the well-known fact that correlation is bounded between $-1$ and $1$: $$ -1 \le \text{corr}(X,Y) = \frac{E[(X - E[X])(Y - E[Y])]}{\sigma_X \sigma_Y} \le 1. $$ I've been trying to wrap my ...
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0answers
20 views

How to find most correlated items?

[Complete noob here, apologies in advance] I have a table which contains a value for each other element in the table. I want to find out what the clusters are of related values (for instance, of ...
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0answers
27 views

Why does Correlation Coefficient concern about the mean of the vector?

$$r = \frac {\sum_{i=1}^n (X_i-\bar X)(Y_i-\bar Y)}{\sqrt{\sum_{i=1}^n(Xi-\bar X)^2} \sqrt{\sum_{i=1}^n(Y_i-\bar Y)^2}}$$ This is exactly the $\cos$ of degree of the angle between vector $X-\bar X$...
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1answer
30 views

Correlation and Linear Regression

I'm tasked with this question but unable to proceed on. Q: Calculate the linear product moment correlation coefficient between x and m for these samples: $$ \Sigma x=205,\\ \Sigma m=1240, \\ \Sigma ...
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0answers
20 views

Coupling Brownian Motions

I want to simulate three freight rate indices which are naturally correlated. The freight rate dynamics ($X$) can be modeled as a geometric Brownian motion: $dX_{t} = \mu X_{t}dt + \sigma X_{t}dW_{t}$...