Assertion: regression's variable | /r/HasProperty | ordinal
Facets:
value: in nature
type: LOCATION
Source sentences:
text: Are the independent variables either interval, ratio, or ordinal?
text: Since both variables are ordinal, Spearman's method is chosen.
text: Basically, it is suitable when the dependent variable is ordinal in nature
text: Dependent variable: The dependent variable is ordinal.
text: Correlation coefficient ( denoted = r ) describe the relationship between two independent variables ( in bivariate correlation ) , r ranged between +1 and - 1 for completely positive and negative correlation respectively , while r = 0 mean that no relation between variables( correlation coefficient without units ), so we can calculate correlation between paired data, in case of Pearson correlation the data must normally distribute and scale type variables , if one or two variables are ordinal , or in case of not normal distribution , then spearman correlation is suitable for this data .