They are variables that can take quantitative - as opposed to qualitative values. For example, the colour of peoples' eyes is a qualitative variable, but their age or shoe size are quantitative variables.
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This kind of data is qualitative, meaning it is an observation of a particular facet of the observed thing. Quantitative date is numerically-based.
Quantitative means it can be measured. Qualitative is something that is subjective meaning there is no way to really measure it. Example: Quantitative: 2=2=4 This is always true. Qualitative: Puppies are cute. (this is only an opinion. No facts)
The strength of the linear relationship between two quantitative variables is measured by the correlation coefficient. The correlation coefficient, denoted by "r," ranges from -1 to 1. A value of 1 indicates a perfect positive linear relationship, -1 indicates a perfect negative linear relationship, and 0 indicates no linear relationship. The closer the absolute value of the correlation coefficient is to 1, the stronger the linear relationship between the variables.
It is quantitative.
Quantitative comes from the word "quantity" meaning an exact amount. A quantitative variable, or answer, is one where an exact numerical value is expected, such as, Liz has 4 dogs. 4 is the quantitative value. Contrast this with qualitative, where an amount is given but without exact numbers. i.e. Liz has MORE dogs than Sue. * * * * * Or even Liz has Labradors, while her parents have Great Danes.