METHODS OF RESEARCH
DESCRIPTIVE RESEARCH
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Regression
|
|
|
Correlation
|
|
|
Variance
|
|
|
None of the above
|
Detailed explanation-1: -Correlation is used to test relationships between quantitative variables or categorical variables. In other words, it’s a measure of how things are related. The study of how variables are correlated is called correlation analysis.
Detailed explanation-2: -Correlation coefficients are used to assess the strength of associations between data variables. The most common, called a Pearson correlation coefficient, measures the strength and the direction of a linear relationship between two variables.
Detailed explanation-3: -A scatterplot is the most useful display technique for comparing two quantitative variables.
Detailed explanation-4: -A test of correlation establishes whether there is a linear relationship between two different variables. The two variables are usually designated as Y the dependent, outcome, or response variable and X the independent, predictor, or explanatory variable. The correlation coefficient r has a number of limitations.