These are the major descriptive techniques for correlational data.Select one or more:a.inferential statisticsb.correlation coefficientc.Pearson correlation coefficientd.scatter plot

The major descriptive techniques for correlational data are:

b. Correlation coefficient: This is a statistical measure that calculates the strength of the relationship between the relative movements of two variables. The values range between -1.0 and 1.0. A calculated number greater than 1.0 or less than -1.0 means that there was an error in the correlation measurement.

c. Pearson correlation coefficient: This is a type of correlation coefficient that represents the linear relationship between two variables. Like the correlation coefficient, its values also range between -1.0 and 1.0.

d. Scatter plot: This is a graphical representation used to display values for two variables for a set of data. The points on the scatter plot often indicate the relationship or correlation between two variables.

Inferential statistics (a) is not a descriptive technique for correlational data. It is a type of statistics that makes inferences and predictions about a population based on a sample of data taken from the population in question.