Examples of using Correlation coefficient in English and their translations into Indonesian
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Where r= Pearson's r correlation coefficient.
If the correlation coefficient is equal to +1 this means that A and B currency pairs move in the same direction.
If there is no relationship between the variables, the correlation coefficient will be 0.00.
When the correlation coefficient is less than +1 this means that the currency pairs move in the same direction.
But at the same time the trader sees that the correlation coefficient was equal to 0.20 for the last days.
The correlation coefficient, like the covariance, is a measure of the extent to which two measurement variables"vary together.".
Data analysis was performed with the help of SPSS 16, through Pearson correlation coefficient and generalized linear model(GLM).
The correlation coefficient is sometimes called the“Pearson product-moment correlation coefficient” in honor of its developer, Karl Pearson.
Perfect positive(the dependent variable increases with an increase in the independent variable)linear association has a correlation coefficient of 1.
The ICH recommends, for accuracy reporting, the linearity curve's correlation coefficient, y-intercept, slope of the regression line and residual sum of squares.
Perfect negative(the dependent variable decreases with an increase in the independent variable)linear association has a correlation coefficient of -1.
We can measure this using a correlation coefficient(described above), which reflects how well the two securities are related to each other.
Level relationships(how strong the relationship) is usually expressed in number between -1.00 and +1.00,which is called the correlation coefficient.
If the correlation coefficient is towards +1, it indicates a positive relationship between the variables and -1 indicates a negative relationship between the two variables.
When gender, ethnic background,and family income were controlled altogether, the correlation coefficient was still significant(r=- .118, p< .05).
Calculate the correlation coefficient to find the correlation between any two variables, whether they are market indicators, stocks or anything else that can be tracked numerically.
Association- the strength of the linear relationship between the forecasts andobservations(for example, the correlation coefficient measures this linear relationship).
The reason the use of techniques of Karl Pearson correlation coefficient is due to the variables that want to look for correlations have interval measurement scale.
The quantitative approach establishes facts,makes predictions and tests stated hypothesis and used the Pearson correlation coefficient, the ANOVA and the two-way analysis of variance.
The other conditions-- correlation coefficient, statistical significance, profit factor, and Kelly fraction-- are not part of our specific requirements, but were added to improve overall results.
It may be that twovariables have a strong relationship correlation but the correlation coefficient value is near zero, for example in the case of non-linear relationship.
Basically, the design of the study of this relationship is quite simple, and only had to collect a score of two variables of the same group of subjects andthen calculate the correlation coefficient.
To reduce the errors to the minimum necessary to calculate the correlation coefficients, and based on the correlation coefficient to decide to open a deal or not.
Correlation coefficient can describe strength& direction of relationship between 2 variables, from +1.00(perfect pos correlation) through zero(no correlation) to -1. oo(perfect neg correlation). .
A stepwise regression of change in spouse problems onchange in consumption generated a nonsignificant multiple correlation coefficient that claimed to explain only about 4 per cent of the variance.
In general, a correlation coefficient higher than 0.8(either positive or negative) represents a strong correlation; a correlation coefficient lower than 0.5(again, either positive or negative) represents a weak one.
Prior to use, made of construct validity(Construct Validity)through the validation process is the calculation of the correlation coefficient score points with the total score and reliability testing with Cronbach Alpha formula.
Correlational research purposes based on Suryabrata(in Abidin, 2010) is to detect the extent to which variations in the factors associated with variations in one ormore other factors based on the correlation coefficient.
A correlation coefficient can describe the strength and direction of a relationship between two variables, from +1.00(a perfect positive correlation) through zero(no correlation at all) to- 1.00(a perfect negative correlation). .
The measurement of efficient portfolio composition in this study uses the level of profit, standard deviation,variance-covariance, correlation coefficient and coefficient of variation of several investment instruments for the period of 2011-2015.