# Recent content by Zarathrustra

1. ### Correlation signficance

I would appreciate help in checking whether my attempt to decide whether my correlations are significant is correct – I suspect not, and would welcome a correct set of functions. After computing the correlation of two arrays, for example: JL50: CORREL($QW$5:$QW$46,JL$5:JL$46) = 0.4084, I then...
2. ### Correlation of t-test or both?

I would appreciate some guidance. I am tracking 300-odd occasionally used variables against a succession of dependent variables (one at a time) in order to see which one/s are possibly of importance - with a view to using or dropping those which are. n varies between 12 for some variables up to...
3. ### Correlation evaluation

Thanks hismoth. How do I then use this stat? In my case, I have something like 300 independent variables, all with an n=66, and with confidence intervals varying between 0.0015 and 0.50. So could I reasonably say that correlations above (say) 0.5 with a confidence interval of below 0.01 are...
4. ### Correlation evaluation

Is there a single statistic which can reflect the different importance between similar correlations, say 0.7, based on different sample sizes such as n=10 and n=1,000?
5. ### To assess meaningfulness between an independent variable and a dependent one, is just the p value alone adequate and/or the correlation?

Thanks hismith; will do
6. ### To assess meaningfulness between an independent variable and a dependent one, is just the p value alone adequate and/or the correlation?

Thanks to you all for your guidance. I think this confirms my way of progressing in using the results of my linear regression usage. I am relating many lifestyle independent variables against somewhat fewer (but still a lot) of independent biomarkers. For some, such as blood pressure and body...
7. ### To assess meaningfulness between an independent variable and a dependent one, is just the p value alone adequate and/or the correlation?

To decide whether there is a probable meaningful relationship between dependent/independent variables, is it best to use just the t test (at, say, 5%; anything less than this meaning it is unlikely for the relationship to happen by chance and so is probably meaningful); or look at the variance...