BCA_QUIZ

Which of the following is an example of multivariate data?

• Examining the age distribution of students.

• Analyzing the relationship between height and weight.

• • Analyzing sales data with multiple variables like product, region, and month.

• Describing the temperature in a single city over a week.

A continuous variable can take:

• • Only whole numbers.

• • Any value within a range.

• A finite set of categories.

• • Only integer values.

A discrete variable is characterized by:

• • Taking any value within an interval.

• Continuous measurement.

• • Representing non-numeric data.

• • Being counted in whole numbers.

The inverse of a matrix exists if:

• The matrix is not square.

• • The matrix is a zero matrix.

• • The determinant is non-zero.

• • The determinant is zero.

If the correlation between two variables is 0.85, what can you infer?

• • There is a strong positive relationship.

• There is no relationship.

• There is a strong negative relationship.

• The variables are inversely related.

The diagonal elements of a covariance matrix represent:

• • The variance of each variable.

• The covariance between different variables.

• • The mean of each variable.

• • The correlation between variables.

If the covariance between two variables is zero, it indicates:

• • The variables are independent.

• • The variables have no variance.

• • The variables are perfectly correlated.

• • One variable is a constant.

Variance is used to measure:

• The central tendency of a dataset.

• The spread or dispersion of a dataset.

• The correlation between two variables.

• • The mean value of a dataset.

Which of the following is an example of ordinal data?

• • Height of individuals.

• Temperature in Celsius.

• • Gender of respondents.

• Ranking of students in a class.

The correlation of a variable with itself is always:

• Undefined

• 0

• 1

• -1