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Questions tagged [correlation]

For questions about correlation of two random variables. Correlation is a statistical technique that can show whether and how strongly pairs of variables are related. Use it with [tag: random-variables] and [tag: probability].

-1 votes
0 answers
25 views

Known correlations [closed]

A bit lost on where to get started on this problem — any thoughts would be greatly appreciated! I know X + Y is normally distributed with N(0, 2), not sure how to compare two normally distributed ...
navierstokes24's user avatar
-1 votes
0 answers
10 views

How to prove this relation for Kendall's distribution function (or Kendall's measure)

Kendall Distribution Function (Nelsen, 2006, p. 163) Or Kendall Measure (Salvadori et al., 2007, p. 148) Or Kendall Function (Joe, 2014, pp. 419–422) is the cumulative distribution function (CDF) of ...
khoshmard's user avatar
2 votes
2 answers
120 views

Autocorrelation of Binary Random Variable

Let $X_i$ be a random variable that takes either the value $+1$ or $-1$. Suppose that if the previous value $X_{i-1}$ is $x\in \left\{ -1, 1\right\}$, then $X_i$ also takes value $x$ with probability $...
CRYPTONEWBIE's user avatar
0 votes
1 answer
21 views

Is joint normal distribution flexible in correlation?

Suppose random variables $X$, $Y$, and $Z$ follow joint normal distribution. Conditional on $X$, we can calculate the correlation coefficient of $Y$ and $Z$. Is it always the case that this ...
Ypbor's user avatar
  • 818
0 votes
0 answers
13 views

Correlation Best Suited for Small Dataset? [migrated]

I have an x and a y that I would like to find the correlation of to learn more about their relationship. Unfortunately, I only have 10 points. Can I in good faith use the Pearson correlation ...
Camellia99's user avatar
2 votes
0 answers
45 views

Conditional Expectation for a multivariate normal distribution

I have $n$ random variables, $X_1, ..., X_n$, with covariance matrix, $\mathbf{\Sigma}^{n\times n}$ and I am trying to calculate $\mathbb{E}(X_1 | X_2 = x_1, ..., X_n = x_n)$. I am aware of the ...
Xerium's user avatar
  • 45
0 votes
0 answers
15 views

Removing Independent Variable Uncorrelated with All Other Variables in Linear Regression

I've been looking at Wooldrige's Introductory Econometrics and came across the following section related to omitted variables in multiple regression here The section essentially says that if an ...
Andrew Cheng's user avatar
0 votes
0 answers
28 views

How to determine the correlation between a discrete variable and a continuous variable?

I have 9 conditions (discrete variables) with each having only two states: occurrence (corresponding to 1) and non-occurrence (corresponding to 0), resulting in a total of approximately 511 ...
Frontier_Setter's user avatar
2 votes
1 answer
54 views

Probability of coin flip given forecasts

Suppose you have a coin that flips $H$ or $T$ with some unknown probability. You also have access to two devices, $A$ and $B$, where $A$ correctly predicts the outcome of the coin with $p = 0.7$ and $...
shrizzy's user avatar
  • 794
0 votes
0 answers
36 views

What is the expectation of $R^2$ for for iid $y, x_1, ... x_k \sim N(0,1)$

$Y, X_1, ...., X_k$ are all iid $N(0,1)$ with $n$ samples. I can't make any progress on this problem... I don't even know an approximation but from simulation it seems to be $k/n$. What is the ...
user2330624's user avatar
0 votes
0 answers
26 views

Formula for jointly correlated variables

I've always seen the following expression for normal correlated variables which is considered quite basic: \begin{equation} A=\rho Z+\sqrt{1-\rho^2}\epsilon \end{equation} I understand that it follows ...
vsa's user avatar
  • 1
0 votes
0 answers
28 views

Proportion of variance in a linear regression model with a covaring predictor

Given a model: \begin{align}Y_{i}=Z_{i}*\beta * X_{i} + Z_{i}\tag{Eq. 1}&\end{align} I am interested in a closed formula for the proportion of variance explained by the predictor variable $X$, ...
CafféSospeso's user avatar
0 votes
0 answers
20 views

Correlation vs Regression for a simple task

Hello everyone and thank you for taking the time with my issue! I want to apologize in advance if my question would've fit better on stack exchange, but I decided that the question is more related to ...
nicaaa's user avatar
  • 1
0 votes
0 answers
41 views

Why is the autocorrelation of an uncorrelated random noise process the dirac delta distribution?

I am reading Stochastic Methods by Gardiner and in the beginning of chapter 4 he motivates the rigorous interpretation of a Stochastic Differential equation by describing the properties of a "...
Mashe Burnedead's user avatar
0 votes
0 answers
23 views

Which Test to Find a Correlation Between Two Selections.

I have a dataset of about 22 000 items, from which two processes have selected a small subset. I want to know if there is a correlation between the two selections, and I wonder which statistical test ...
Rafa's user avatar
  • 1

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