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.
How do you determine the relationship between two variables?
The direction of the relationship between two variables is identified by the
sign of the correlation coefficient for the variables
. Postive relationships have a “plus” sign, whereas negative relationships have a “minus” sign.
Which of the following is used to examine the relationship between two quantitative attributes?
To test the linear relationship between continuous variables
Scatter plot
is a good option. … A scatter plot displays the relationship between two quantitative variables.
What are two quantitative variables?
A quantitative variable is something that can be measured and written out as a number. For example,
age, height, and life expectancy
are all quantitative variables because all of these can be written as a number. If you asked someone to give you their age, they would give you a number. It’s the same with the others.
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.
Is age quantitative or qualitative?
Examples of
quantitative characteristics
are age, BMI, creatinine, and time from birth to death. Examples of qualitative characteristics are gender, race, genotype and vital status. Qualitative variables are also called categorical variables.
What is a quantitative variable?
Quantitative Variables –
Variables whose values result from counting or measuring something
. Examples: height, weight, time in the 100 yard dash, number of items sold to a shopper. Qualitative Variables – Variables that are not measurement variables.
Is time a quantitative variable?
As discussed in the section on variables in Chapter 1,
quantitative variables are variables measured on a numeric scale
. Height, weight, response time, subjective rating of pain, temperature, and score on an exam are all examples of quantitative variables.
What is the difference between quantitative and qualitative data?
Quantitative data is information about quantities, and therefore numbers, and
qualitative data is descriptive
, and regards phenomenon which can be observed but not measured, such as language.
What are the two variables in statistics?
The input variable (or independent variable) is usually denoted by x in mathematics, and
the output variable (or dependent variable) by y
.
What does a correlation of zero between two quantitative variables mean?
If the correlation coefficient of two variables is zero,
there is no linear relationship between the variables
. … This means that there is no correlation, or relationship, between the two variables.
What type of quantitative data is age?
In our medical example, age is an example of
a quantitative variable
because it can take on multiple numerical values. It also makes sense to think about it in numerical form; that is, a person can be 18 years old or 80 years old.
Is blood type qualitative or quantitative?
For example, blood group and gender are forms of categorical data. The values belong to some sort of category, on the basis of a
qualitative
property. Essentially, “categorical” is a synonym for “qualitative”.
Is weight quantitative or qualitative?
Weights are
quantitative continuous data
because weights are measured.
Is GPA a quantitative variable?
In contrast, Alex’s grade point average is an example of a
quantitative variable
. Quantitative variables can be classified as either Discrete or Continuous. … Since GPA can take an infinite number of possible values, for example interval 0.0 to 4.0.
How do you identify a quantitative variable?
Quantitative Variables – Variables whose
values result from counting or measuring something
. Qualitative Variables – Variables that are not measurement variables. Their values do not result from measuring or counting. Designator – Values that are used to identify individuals in a table.
