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correlation
Strengths:WeaknessesCalculating the strength of a relationship between variables.Cannot assume cause and effect, strong correlation between variables may be misleading.Useful as a pointer for further, more detailedresearch.Lack of correlation may not mean there is no relationship, it could be non-linear.
Correlation is a statistical technique that is used to measure and describe the strength and direction of the relationship between two variables.
It is a positive correlation between strength of ethnic identity and self-esteem.
Correlation
mortar are mixing by sand & cement and concrete is mixing by cement, sand & stone
correlation we can do to find the strength of the variables. but regression helps to fit the best line
correlation measure the strength of association between to variables.but some times both variables are not in same units.so we cannot measure it with the help of correlation. in this case we use its coefficent which mean unit free. that,s why we use it.
The correlation analysis is use in research to measure and interpret the strength of a logistic relationship between variables.
The strength of the relationship between 2 variables. Ex. -.78
No, the correlation coefficient is a measure of the strength and direction of the linear relationship between two variables, and it ranges from -1 to 1. It cannot be represented as a percentage.
Yes, correlations can be measured using statistical methods such as Pearson's correlation coefficient or Spearman's rank correlation coefficient. These measures quantify the strength and direction of the relationship between two variables.