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No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
No. The units of the two variables in a correlation will not change the value of the correlation coefficient.
No.
A correlation coefficient of 1 (r=1) is a perfect positive correlation.
correlation is a difference in statistics
Auto correlation is the correlation of one signal with itself. Cross correlation is the correlation of one signal with a different signal.
No. The strongest correlation coefficient is +1 (positive correlation) and -1 (negative correlation).
positive correlation-negative correlation and no correlation
The correlation can be anything between +1 (strong positive correlation), passing through zero (no correlation), to -1 (strong negative 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.
Correlation can be estimated using several methods, with the most common being Pearson's correlation coefficient, which measures the linear relationship between two variables. Spearman's rank correlation coefficient is another method that assesses the strength and direction of monotonic relationships based on ranked values. Additionally, Kendall's tau is used for ordinal data to measure the association between two variables. Each method has its specific applications and assumptions, making them suitable for different types of data.
partial correlation is the relation between two variable after controlling for other variables and multiple correlation is correlation between dependent and group of independent variables.
No, The correlation can not be over 1. An example of a strong correlation would be .99
They can be positive correlation, negative correlation or no correlation depending on 'line of best fit'
No. The units of the two variables in a correlation will not change the value of the correlation coefficient.
No.
Indentation rhymes with correlation