There is no such term. The regression (or correlation) coefficient changes as the sample size increases - towards its "true" value. There is no measure of association that is independent of sample size.
That's a question that can only really be answered via a study. Take a random sample of people (from your school for example) and plot their weight against their average daily walking distance (you may have to make your subjects carry a pedometer during the study period). Do you see a negative relationship on the graph?As a second step, calculate the correlation coefficient. As negative correlation gets stronger the correlation coefficient will get closer to -1.
Evidence that there is no correlation.
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
Yes it can be a correlation coefficient.
It will be invaluable if (when) you need to calculate sample correlation coefficient, but otherwise, it has pretty much no value.
It is r.
The Correlation Coefficient computed from the sample data measures the strength and direction of a linear relationship between two variables. The symbol for the sample correlation coefficient is r. The symbol for the population correlation is p (Greek letter rho).
A mistake in calculations! ;) If the calculations are done correctly then the sample correlation must lie within the closed interval [-1, 1].
There is no such term. The regression (or correlation) coefficient changes as the sample size increases - towards its "true" value. There is no measure of association that is independent of sample size.
Correlation charts in FT-IR spectroscopy are used to identify functional groups in a molecule by matching the observed infrared absorption bands to known characteristic absorption frequencies of functional groups. This allows for the interpretation and analysis of the chemical structure of a sample based on its IR spectrum.
like for example if a diesel sample is contaminated by paraffin and the flash point is altered is the IBP also altered?
Auto correlation is the correlation of one signal with itself. Cross correlation is the correlation of one signal with a different signal.
That's a question that can only really be answered via a study. Take a random sample of people (from your school for example) and plot their weight against their average daily walking distance (you may have to make your subjects carry a pedometer during the study period). Do you see a negative relationship on the graph?As a second step, calculate the correlation coefficient. As negative correlation gets stronger the correlation coefficient will get closer to -1.
positive correlation-negative correlation and no correlation
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).