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

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16 views

Which type of correlation should I use?

I am beginner in statistics. I have excel table with few columns. I would like to find correlation between the variables. I have to make an essay to my boss and he wants concrete answers. I searchin ...
3
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1answer
70 views

How to curve fit an unknown function?

I have data which can be described by $y=f(x,z)$ where $z$ varies from 170 ~ 154. Now values given by $ks$ are known sample values that equals value given in the table header, $uks$ are unknown ...
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1answer
18 views

Is it valid to get a correlation between moving averages?

I have a 10 day moving average of one set of return data for one stock and a ten day moving ave of another stock. 400 data points and correlating 390. Can I now get a correlation between the two or ...
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0answers
22 views

Independent and Identically Distributed Probability Question

Let $\{X_a\}_{a\in \mathbb{Z}}$ be i.i.d random variables with mean $0$ and unit standard deviation. For $\left(d_0, d_1, d_2, \dots, d_k\right)$, a sequence of $k$ real numbers and $b\in ...
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16 views

Let $U=2X$ and $V=-3Y$. Find Correlation (U,V) given Correlation $(X,Y)=0.8$.

Let $U=2X$ and $V=-3Y$. Find Correlation (U,V) given Correlation $(X,Y)=0.8$. My Steps: $$\begin{align} Correlation (U,V) & = \dfrac{Cov(U,V)}{\sqrt{Var(U)\cdot Var(V)}} \\ & = ...
2
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1answer
55 views

Wedge Product Formula For Sine. Analogous Formula Generalizing Cosine to Higher Dimensions?

So I was day dreaming about linear algebra today (in a class which had nothing to do with linear algebra), when I stumbled across an interesting relationship. I was thinking about how determinants are ...
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1answer
26 views

Independent variable vs. Uncorrelated variable confusion. How do I interpret this?

I'm reading Time Series Analysis and Forecasting by Example by Søren Bisgaard and Murat Kulahci and I'm having trouble conceptualizing a particular passage and it's bugging me enough that I can't move ...
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0answers
17 views

FFT of k*k matrix from FFT of a j*j matrix

FFT of matrix a j by j matrix, A $\begin{bmatrix}1 & 2\\3 & 4\end{bmatrix}$ = $\begin{bmatrix}10 & -2\\-4 & ...
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2answers
37 views

What is the rigorous justification for using inner products as a function of similarity between two vectors?

In machine learning, it is a common thing to define similarity measures, specially using the so call Kernel function. Kernel functions are defined though through inner products of feature vectors: ...
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0answers
11 views

independence in rank vs independence in correlation

while watching a coursera lecture on lecture on correlation , at around 5:00 , the instructor says that if two random variables X, and Y are independent then there correlation will be zero, but the ...
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2answers
125 views

Correlation of Proportions

To introduce my question, here is a small simplification for consideration: Let $X,Y$ be independent random variates, each with finite mean and variance. Interestingly, ...
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0answers
24 views

Increase the probability of correct prediction using multiple regression

First off let me begin by saying that I'm brand new to statistics and I would appreciate it if you could dumb down any answers for my problem. I am trying to create a general prediction of how much a ...
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1answer
196 views

Uncorrelated but not independent random variables

Is it possible to construct two random variables $X, Y$ both of them assuming exactly two non-zero values which are uncorrelated, i. e. $\mathbf{E}[X \, Y] = \mathbf{E}[X]\,\mathbf{E}[Y]$, but not ...
1
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1answer
21 views

Conditional Probability Distribution for two Discrete Uniform Random Variables with given Correlation Coefficient

I consider a problem with two random variables $X, Y \sim Unif\{a,b\}$, for which I want to set a correlation coefficient $Corr(X,Y)=\rho$. Now, I am interested in the conditional probability mass ...
1
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1answer
64 views

Cross Power Spectral Density from Individual Power Spectral Densities

Let $X$ and $Y$ be two zero-mean, wide-sense stationary random processes. The power spectral density of a process is the Fourier transform of the process's auto-correlation function. The cross power ...
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0answers
23 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
27 views

Correlation Matrix using Matrix Algebra, not the Same as Result from Excel

I am attempting to verify a calculation found at another question on this site. The formula is said to provide a correlation matrix using q = D-1ED-1 where q is the correlation matrix; E is the ...
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2answers
33 views

correlation between $\sum_{i=1}^{98}X_i$ and $\sum_{i=3}^{100}X_i$

Let $X_1,...,X_{100}$ be iid $N(0,1)$ random variables. The correlation between $\sum\limits_{i=1}^{98}X_i$ and $\sum\limits_{i=3}^{100}X_i$ is equal to (A) $0$ (B) $\dfrac{96}{98}$ (C) ...
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0answers
16 views

How to find covariance of sample mean and sample standard deviation

I have a question to find the covariance of sample mean and sample standard deviation based on the following: I have tried something on my scratch paper, but for some reason, I cannot upload on ...
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0answers
36 views

Covariance and correlation of summations of independent random variables

This is the problem: There are 2n − 1 independent random variables X1, 𝑋2, ... , 𝑋2𝑛−1. The expectation E(Xi) is μ for all i = 1,...,2n−1. The variance Var(Xi) is σ2 for all i = 1,...,2n−1. Let ...
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1answer
33 views

Linear Regression and finding Correlation Coefficient

In a Simple Linear Regression $y= \alpha + \beta x + \epsilon $, we gather this information: $S_y=20, S_x=5, \widehat{\beta} = 0.2 $ how I could find Instance Correlation Coefficient between x and ...
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30 views

Covariance matrix using squared exponential function

I'm writing down the covariance matrix $K$ of a vector X using squared exponential covariance function, and then evaluating the determinant of the matrix $K$. Let's say i add a new point to $X$ , and ...
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0answers
6 views

given means and deviation find the correlation

I have some problems in effect size calculation for meta analysis. I want to use the difference between mean gain scores and standard deviation of gain score as the effect size. I need to calculate ...
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0answers
10 views

Find normal random variables from independent standard normal variables with correlation matrix

I'm trying to find three independent standard normal variables from three normal random variables using a correlation matrix. So far, I have decomposed the problem using the matrix's cholesky ...
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0answers
7 views

(bounds on) mean of correlation matrix

Let $C\in\mathbb{R}^{p\times p}$ be a correlation matrix, that is a positive (and thus symmetric) definite matrix with main diagonal elements equal to $1$ and off-diagonal entries in the interval ...
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0answers
12 views

Augmenting a matrix with a highly-incorrelated column

Consider a binary matrix: $$\begin{pmatrix} 1 & -1 & 1 \\ -1 & 1 &1 \\ \vdots & \vdots &\vdots \\ 1 & 1 & -1\end{pmatrix}$$ with a random distribution of 1 and -1 ...
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1answer
17 views

Given f(x) and two correlated random variables x & y, how do I estimate the correlation of f(x) & f(y)

I have a smooth continuous well-behaved function f(x), where f(x) is positive and mononically increasing with x, and x is positive real continuous variable. Given the mean, variance, and correlation ...
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0answers
47 views

Estimating Percentile Ranks - Correlation

I'm going to type out the question, run the answers I've gotten so far by you, and then ask about what I'm having issues with. Question: In a large statistics class the correlation between midterm ...
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0answers
7 views

Convergence under rank correlation

I have a following setup: Let $c\in{\Bbb R}$, $R^2\in [0,1]$ and $\Psi,\varepsilon_1,\varepsilon_2,\ldots$ independent random variables on a probability space $(\Omega,{\cal A},{\Bbb P})$. Define the ...
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0answers
21 views

Error of 2 correlated variables, proxied as random variables

Disclaimer: my 1st question in math.stackexchange (usually in stackoverflow !), and non-English speaker. I'm trying to solve this problem for an arbitrary no. of variables, with multiple categories ...
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1answer
21 views

increment of Brownian motion squared [closed]

$(W_t)_{t \geq 0}$ is Brownian motion, assume t>s, does $E[(W_t-W_s)^2W_s^2]=(t-s)s$ ? In other words, are $(W_t-W_s)^2$ and $W_s^2$ independent?
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9 views

Why is pure sample covariance a bad metric to understand the degree of correlation between two variables?

Covariance helps you understand how variables are linearly related. Would it be possible to have two pairs of variables in a deterministic relationship (i.e. linearly correlated variables) that have ...
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0answers
29 views

Two forms of cross-correlation

Wikipedia and MATLAB defines cross-correlation in this way. In time series analysis (P21), it defines cross-correlation upon cross-covariance: Let $\{X_t\}$ and $\{Y_t\}$ be two time series, ...
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0answers
16 views

Correlation to a Curve

If I have a problem with data correlation. I have a quadratic $x$/$y$ model that is representative of a process, could I use it to find an equivalent value of $y$ at a given $x$ if I have an $x$ and ...
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0answers
9 views

An algebraic relationship between inverses of the correlation and covariance matrices

Suppose that we have $p$ random variables $(x_1,\ldots,x_p)$. Stack them together as $x=(x_1,\ldots,x_p)'$ and let $V$ be the covariance matrix of $x$ and $R$ the correlation matrix. Suppose that $V$ ...
0
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1answer
27 views

Don't understand dirac delta function for white noise?

Say we have stochastic differential equation $\frac{dx}{dt} = n(t)$ where $n(t)$ is a noise process. $n(t)$ has a correlation function $R(t - t') = <n(t)n(t')>$ If the noise process is white ...
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1answer
54 views

Simulate correlated $\chi^2$ distribution

I understand that when one have multiple independent variable that follows $N\sim(0,1)$, denoted as $A$ if we have a correlation matrix $R$, we can generate correlated variables $B$ that are normally ...
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3answers
73 views

Correlation of uniform variables

Let $X$ and $Y$ be independent random variables, $X,Y \sim unif(0,1)$. Let $U = \min \{X,Y\}$ and $V = \max\{X,Y\}$. Find the correlation coefficient of $U$ and $V$. I think we can assume that $U = ...
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0answers
27 views

How can I get a Covariance Matrix from Mean and Variance?

this may be a very basic question. I have the mean and variance for 12 lognormal distributions: ...
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0answers
16 views

How to calculate correlation between discrete data points?

I understand there are numerous correlation algorithms, but I wanted some more suggestions on what to use. Here is my situation: I have one list of discrete data points, that I'll call "ideal" case ...
0
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1answer
19 views

Relation between Regularization and correlation

I was going through Chapter 3 (page 63 bottom) of Elements of Statistical Learning. While explaining regularization in ridge regression authors make the following statements. "When there are many ...
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15 views

Coefficient of variation vs Pearson's rho

If you get the same outcome in case of Pearson's rho when comparing interval/ratio statistics, but the intervals/ratios are different, is it possible to use the coëfficiënt of variation to say more ...
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0answers
20 views

centering two variables X and Z makes cov (X,XZ) = 0

I've read that centering two normal (or symmetrical) variables $X$ and $Z$ affects correlation of centered $X$ with interaction term $X\cdot Z$ in such way, that this correlation $cor(X-EX, X\cdot Z)$ ...
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36 views

How to describe the correlation between two non-random variable mathematically?

As we all know, correlation is a statistical relationship between two random variables. However, if there are two non-random variables, is there correlation between them, if it has, how to describe it ...
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A stochastic process is generated as follows: we assign the value 1 to a head and the value 0 to a tail. Start at n=0, Compute Rxx(0,0) and Rxx(2,3)

I am kind of confused here, since autocorrelation describes the correlation between values of the process at different times, but for the first case, it is at the same time. I got that ...
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2answers
48 views

Correlation between two variables

Assume $X_1$, $X_2$, $X_3$,..., $X_n$ are i.i.d, say that $Y_1$ = $X_1^2/\sum_i X_i^2$ and $Y_2$ = $X_2^2/\sum_i X_i^2$, how to calculate the correlation between $Y_1$ and $Y_2$ or prove that they are ...
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1answer
19 views

Correlated explanatory variables in linear regression

Is it any reason to assume that if two strongly correlated explanatory variables have impact on response that regression coefficients for these variables have the same signs ? Could such assumption be ...
0
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1answer
25 views

Interpreting high p value and low correlation value

I am trying to run regression on financial data in R. I am new to regression analysis so I am finding it to difficult to interpret certain scenarios. I have the code as follows: Regression analysis ...
0
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1answer
17 views

Formula for the correlation between two different variables

"Jon planted a plant. When the plant grew to 4 centimeters of height he decided to start to measure how much the plant grew each week. Here's the result Week 0: 4 cm. Week 1: 6 cm. Week 2: 10 cm. ...
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40 views

Comparing two vectors based on order and ranking?

What I want to do is compare the ordering of variables determined by the ranking of each variable. For example: Say, I have a rating system that is made up of 5 different ratings - Excellent Good ...