A relationship between variables
An error! Correlation must be between -1 and 1.
The correlation coefficient must lie between -1 and +1 and so a correlation coefficient of 35 is a strong indication of a calculation error. If you meant 0.35, then it is a weak correlation.
A mistake in calculations! ;) If the calculations are done correctly then the sample correlation must lie within the closed interval [-1, 1].
8.7.4 Properties of Regression Coefficients:(a) Correlation coefficient is the geometric mean between the regression coefficients. (b) If one of the regression coefficients is greater than unity, the other must be less than unity.(c) Arithmetic mean of the regression coefficients is greater than the correlation coefficient r, providedr > 0.(d) Regression coefficients are independent of the changes of origin but not of scale.
It depends on the statistical test that is being applied. Different tests have different critical values. For the sake of definiteness let's say that you plan to measure the IQs of 30 people using two different paper-and-pencil tests. In advance of your study you decided that the null hypothesis would be that there is no correlation between the two tests and that the alternative hypothesis would be that a positive correlation of the results of test B on those of test A would be accepted at level p=0.01 (or 1%). You proceed with your measurements and you make your correlation calculation. Meanwhile you have consulted the necessary tables to find that the critical value for the correlation statistic based on 30 points is 0.306. This means that you must accept the null hypothesis if the sample correlation coefficient is less than or equal to 0.306. You can accept the alternative if the sample statistic is greater than 0.306.
A relationship between variables
Yes, it must.
The IDE drive has no direct correlation to the AGP bus.
Energy
An error! Correlation must be between -1 and 1.
high humidity
The correlation coefficient must lie between -1 and +1 and so a correlation coefficient of 35 is a strong indication of a calculation error. If you meant 0.35, then it is a weak correlation.
There are three conditions that must be present to show causality: 1) there must be a strong correlation between the proposed cause and effect, 2) the proposed cause must precede the effect in time, and 3) the cause has to be present whenever the effect occurs (Burns & Grove, 2001, p. 791).
vibration
quorum
poo on bread
some measure of examining the information