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Drug is available as ionised form and unionised for at particular pH. If unionsed drug concentartion is high at particular pH. The drug will be having better absorpation.
They would be temperate.
Since it flows halfway between, Normally it would cause "Neap tides".
it would be high
Whether or not a substance is a conductor is not an indicator of its specific heat. This applies to either an electrical conductor or a thermal conductor. There is generally no direct correlation between a substance's ability to conduct electricity or heat and the specific heat of that substance.
yes there is a correlation between high tide and moon rise because the higher the moon gets in the sky the higher the tide will be.
No
1
A correlation coefficient of 1 or -1 would be the highest possible statistical relationship. However, the calculation of correlation coefficients between non independent values or small sets of data may show high coefficients when no relationship exists.
correlation
There's no correspoindence, correlation, or connection between those characteristics. A series circuit or a parallel circuit may have high or low voltages.
The results of the two tests correlate to a high degree.
No. If the correlation coefficient is close to 1 or -1, then the two variables have a high degree of statistical linear correlation. See the related link, particularly the graphs which illustrate correlation.
There does not have to be any correlation between the two. High inflation, on the other hand, will decrease purchasing power if salaries don't go up as much as the inflation.
A correlation is the relationship between two or more variables. Correlations are described as either weak or strong, and positive or negative. There can be a perfect correlation between variables, or no correlation between variables. It is important to determine the correlation between variables in order to know if and how closely changes in one variable are reflected by changes in another variable. This is done by determining the coefficient of correlation (r), which describes the strength of the relationship between variables and the direction. -1 ≤ r ≤ +1 if r= +1 or -1, there is a perfect correlation if r= 0 there is no correlation between the variables. a value closer to + or - 1 demonstrates a strong correlation, while a value closer to 0 demonstrates a weak correlation. a + value demonstrates that when one variable increases the other variable increases, while a - value demonstrates that when one variable increases the other variable decreases. However, it is very important to understand that correlation is not the same as relationship. Consider the two variables, x and y such that y = x2 where x lies between -a and +a. There is a clear and well-defined relationship between x and y, but the correlation coefficient r is 0. This is true of any pair of variables whose graph is symmetric about one axis. Conversely, a high correlation coefficient does not mean a strong relationship - at least, not a strong causal relationship. There is pretty strong correlation between my age and [the log of] the number of television sets in the world. That is not because TV makes me grow old nor that my ageing produces TVs. The reason is that both variables are related to the passage of time.
There is no correlation between hemoglobin and lung cancer. A high or low hemoglobin can mean any number of conditions; people with lung cancer can have any level of hemoglobin depending on situation and other conditions.
For steels especially, there is a high correlation between hardness and strength. Hardness is also indicative of wear resistance for a material.