Definition: The correlation coefficient (r ) is a numerical measure that measures the strength and direction of a linear relationship between two quantitative variables.
Q. How do you test the relationship between two quantitative variables?
A scatterplot is the most useful display technique for comparing two quantitative variables. We plot on the y-axis the variable we consider the response variable and on the x-axis we place the explanatory or predictor variable.
Table of Contents
- Q. How do you test the relationship between two quantitative variables?
- Q. What measures how strong or weak the relationship between 2 quantitative variables are?
- Q. Could a strong relationship between two quantitative variables?
- Q. What is a quantitative relationship between variables?
- Q. Is money qualitative or quantitative?
- Q. What are four levels of measurement for quantitative data?
- Q. What levels of measurement can be qualitative?
Q. What measures how strong or weak the relationship between 2 quantitative variables are?
correlation coefficient
Q. Could a strong relationship between two quantitative variables?
Correlation measures the linear relationship between two quantitative variables. Correlation is possible when we have bivariate data. In this case, there is a tendency for students to score similarly on both variables, and the performance between variables appears to be related.
Q. What is a quantitative relationship between variables?
Correlation: A statistic that measures the strength and direction of a linear relationship between two quantitative variables. Regression Equation: An equation that describes the average relationship between a quantitative response variable and an explanatory variable.
Q. Is money qualitative or quantitative?
1.2 Data: Quantitative Data & Qualitative Data
| Quantitative Data | Qualitative Data | |
|---|---|---|
| Examples | Amount of money you have Height Weight Number of people living in your town Number of students who take statistics | Hair color Blood type Ethnic group The car a person drives The street a person lives on |
Q. What are four levels of measurement for quantitative data?
There are four levels of measurement – nominal, ordinal, and interval/ratio – with nominal being the least precise and informative and interval/ratio variable being most precise and informative.
Q. What levels of measurement can be qualitative?
The nominal level of measurement is qualitative and has no mathematical interpretation. The quantitative levels of measurement – ordinal, interval, and ratio – are progressively more mathematically precise as you move along the levels.
