Del Tatto et al. developed a framework for determining causal links in molecular simulations. The framework uses two ...

Around your mid-40s and again in your early 60s, your body might go through more dramatic changes than you expect. A recent ...

We derive a full statistical characterization of the noise spectrum of a free running oscillator perturbed by white Gaussian noise sources, including the effect of orbital fluctuations and of their ...

Effects of Language Barriers and Social Integration on Academic Achievement of International Students. Open Access Library Journal, 12, 1-15. doi: 10.4236/oalib.1113542 . Language barriers are a ...

In this post, I discuss what “effect sizes” are, why effect sizes from well-designed studies are not the same as ...

(3) Nonlinear correlation: There is no obvious linear relationship between two variables, yet some form of nonlinear relationship exists, such as a curve, S-shape, or Z-shape. (4) Positive linear ...

For example, when two stocks move in the same direction, the correlation coefficient is positive. Conversely, when two stocks move in opposite directions, the correlation coefficient is negative.

Example of using correlation coefficients Let’s say that you own three stocks, which we’ll call Company A, Company B, and Company C. All three are growth stocks in the technology space .

Analyzing non-linear factors. To analyze factors like this, we might need to get creative. ... For example, we might see a correlation between the number of social shares and rankings.

Discover the challenges of using Pearson correlation for non-linear data sets in data science and how it affects analysis accuracy. Skip to main content LinkedIn Articles ...

Discover the pitfalls of using correlation coefficients for non-linear data analysis and how it impacts data science outcomes. Skip to main content LinkedIn Articles ...