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What is a postitive correlation between data sets?
A positive correlation is where the data has an increasing pattern. As X increases, Y also increases.
When you removed from the data set how would the correlation coefficient be affected?
If you remove certain data points from a dataset, the correlation coefficient may be affected depending on the nature of the relationship between the removed data points and the remaining data points. If the removed data points have a strong relationship with the remaining data, the correlation coefficient may change significantly. However, if the removed data points have a weak or no relationship with the remaining data, the impact on the correlation coefficient may be minimal.
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
Is it possible to make a prediction based in a scatter plot with no correlation?
Correlation is an estimate of a linear relationship between two variables and takes no account of non-linear relationship. If the relationship is quadratic and the domain is symmetric about some point, the correlation will be zero. It is, thus possible for the points on the scatter plot to lie exactly on a parabola while the calculated correlation is zero. In such a case, it is easy to make a prediction despite no correlation.
What is a sample correlation?
If measurements are taken for two (or more) variable for a sample , then the correlation between the variables are the sample correlation. If the sample is representative then the sample correlation will be a good estimate of the true population correlation.
What is a postitive correlation between data sets?
A positive correlation is where the data has an increasing pattern. As X increases, Y also increases.
What has the author B V K Vijaya Kumar written?
B. V. K. Vijaya Kumar has written: 'Correlation pattern recognition' -- subject(s): Correlation (Statistics), Pattern recognition systems
Which of the following is technique for regonizing an attack signature?
they are frequency, pattern, correlation and statistical technique.
When the data points on a graph are scattered with no clear pattern there is between the two variables?
No correlation. Answer provided by
Auto correlation and cross correlation?
Auto correlation is the correlation of one signal with itself. Cross correlation is the correlation of one signal with a different signal.
When you removed from the data set how would the correlation coefficient be affected?
If you remove certain data points from a dataset, the correlation coefficient may be affected depending on the nature of the relationship between the removed data points and the remaining data points. If the removed data points have a strong relationship with the remaining data, the correlation coefficient may change significantly. However, if the removed data points have a weak or no relationship with the remaining data, the impact on the correlation coefficient may be minimal.
What are three types of correlations?
positive correlation-negative correlation and no correlation
Is 0.5 the strongest correlation coefficient?
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
What is minimal voltage criteria for LVH may be normal variant?
Pulmonary disease pattern
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 the maximum and minimum value of the correlation coefficient?
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative correlation).
Is it possible to make a prediction based in a scatter plot with no correlation?
Correlation is an estimate of a linear relationship between two variables and takes no account of non-linear relationship. If the relationship is quadratic and the domain is symmetric about some point, the correlation will be zero. It is, thus possible for the points on the scatter plot to lie exactly on a parabola while the calculated correlation is zero. In such a case, it is easy to make a prediction despite no correlation.
