#correlationcoefficients 搜尋結果
Note that even the highest correlation (for the big five) is around .23. That means the big five don't explain a huge amount of variance!
As in the past, correlation coefficient has weakened, which in my view rather implies reversion to the mean, which is closer to 1, than continuation towards 0.
Which I think I’ve seen quoted as an unintuitive result but should be intuitive with the “cosine of angle between variables” interpretation (lesswrong.com/posts/Xt85tj6G…) if I’m remembering correctly
No, correlation is pretty much meaningless without causation. Check out the below correlated graphs.
This made me wonder what the historical correlation coefficient is. This looks pretty close up until recently. Gemini says it’s historically between 0.85 and 0.94 over the long term. If past is prologue you’re hitting the nail directly on the head.
In data, correlation refers to a statistical measure that describes the strength and direction of a relationship between two variables. First, there has to be a relationship (regression) then correlation tells us whether it's high or low. Positive, negative or zero.
Benue state borders Enugu. But somehow they convinced you it’s "North” 🙂↔️ Nigeria needs a total geographical overhaul.
For uncorrelated variables, variance is additive, not SD. √(114^2 + 125^2) is 169. This actually shows an extremely strong correlation, around 0.84.
Correlation only works when the dataset meets the assumptions required for correlation - independence, sufficient sample size, and controlled variables. This dataset violates all three - which means the coefficient tells you nothing. If the inputs are garbage, the correlation is…
A 2.6% correlation coefficient is hardly a robust result and could more likely be explained by error or confounders. More investigation is needed. What is the coefficient of determination? It looks tiny
variances in the denominator of the expression for the Pearson correlation coefficient* are subject to the same sampling variations. ___ * en.wikipedia.org/wiki/Pearson_c… 2/2
Result of the above exercise is a 0.313 correlation, a weak but still present correlation, and the same exact forecasted rise in stonk price i believe is being forecasted now. Thank you for the feedback.
If we stretched out the data and also included other games not just black ops series you’ll notice the correlation coefficient is closer to 0.25-0.3
correlation coeffecient between kas and btc is 0.19 (1 is perfectly correlated, 0 is not correlated at all)
The IQ scores were age-normalized, but yeah, the original study has a correlation coefficient (r) of .13 for the full sample (N=568), with a p-value of .003. The actual study does a better job at presenting this honestly and explains that other factors play larger roles.
Plot y = x^2 from x = -n to n and then correl() of x and y. It will be 0.
whoops, left out correlation from the post: went from 0.635 to 0.7315
📉 A correlation coefficient near zero shows there is little to no linear relationship between two variables. #Statistics #DataAnalysis #Correlation #Analytics
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