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What is significance of correlation?
it shows any pattern that may emerge in any given set of date, this includes a positive or negative correlation. positive where a gradient goes from low to high negative where a gradient goes from high to low
Does a good correlation have to be positive?
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.
What does the term correlation analysis mean?
Correlation analysis is the relationship of two values. When two items are similar, they will have a high correlation. Should they differ, they will be much lower in variables.
What is an example of correlation coefficient?
Correlation coefficient My understanding is: two variables as they relate to one another and how accurately you can predict their behavior to one another when together. Basically the strength of the linear association between two variables. When the variables have a tendency to go up and down together, this is a positive correlation coefficient. Variables with a tendency to go up and down in opposition, (one ends up with a high value and the other a low value) this is negatiove correlation coefficient. An example would be the amount of weight a mom gains during pregnancy and the birth weight of the baby
Are the death and birth rates high or low in Kenya?
yes the birth rate is very high as mothers and fathers love it and the death rate is very high because people like killing people and they die at 5 years old
When high scores go with high scores and low with low the correlation coefficient what will be between 0 and?
1
What is significance of correlation?
it shows any pattern that may emerge in any given set of date, this includes a positive or negative correlation. positive where a gradient goes from low to high negative where a gradient goes from high to low
What is correlation roughness?
Correlation roughness refers to the degree of similarity in the roughness patterns of two surfaces. It is a measure of how closely the surface profiles of two surfaces match each other when compared using correlation analysis. A high correlation roughness indicates that the two surfaces have similar roughness characteristics, while a low correlation roughness suggests differences in surface texture.
When would a correlation coefficient of less than 0.99 be considered unsatisfactory?
When you want the data to be very highly correlated. You may want a very high degree of agreement because you are prepared to allow only a very low probability that the observations were obtained by pure chance. This may be because there is a very high cost associated with making the wrong decision based on the results.
Is the melting point of bromine high or low?
Low, very low.
What fallacy is described assuming there is no correlation between two events there is also a casual relationship?
Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.
Does a tornado have very low pressure?
Yes, very low, that is why the winds are so high.
What diseases are associated with very low ferritin and very high folate?
Anaemia can be associated with low ferritin and high Folate levels.
How do you use correlation in a sentence?
The results of the two tests correlate to a high degree.
What products are high in supply and low in demand?
very high
What effects does the lack of competition in economies have?
very high pricesvery low pricesvery high quality productsvery low quality products A.very high prices B.very low prices C.very high quality products D.very low quality products Answer is: very low quality products
What tides are not very high and not very low?
Neap tides.
