A correlation of -0.75 between self-esteem and body weight would provide the most accurate prediction. This strong negative correlation indicates that as self-esteem decreases, body weight tends to increase.
No, it is an integer number. Correlations happen among various different things. A non-zero correlation means that the things interact or depend on each other. A zero correlation means they don't. Examples: There is a positive correlation between how much you eat and how much you weigh. There is a zero correlation between the color of your car and its gas mileage. There is a positive correlation between how far the volume control is turned up and the sound pressure level that you hear. There is a negative correlation between the air temperature and the sales of sweaters.
Strong and positive
Strong and positive
It is very unlikely that there's a correlation between foot size and literacy comprehension.
There is no correlation whatsoever between formal education and patent approval.
There is a negative correlation between precipitation rate and atmospheric pressure. As atmospheric pressure decreases, it usually indicates a low-pressure system approaching, which can lead to rising air and ultimately increased chances of precipitation. Conversely, higher atmospheric pressure tends to be associated with clearer skies and lower chances of precipitation.
Correlation.
It depends on whether she is pregnant or not and the quality (as in the protein and energy level) of the feed available. Basically it can be between 2% and 3% of her body weight.
The energy increase near the nucleus.
It is a measure of the strength of a linear relationship between one dependent variable and one or more explanatory variables.It is very important to recognise that a high level of correlation does not imply causation. Also, it does not provide information on non-linear relationships.
They are smaller in magnitude than those between lower energy levels.