Applied Statistics - 4.1 - Correlation

Question 1

What is Correlation?

Answer 1

Correlation describes the nature of the linear relationship between two variables

Question 2

What is Bivariate data?

Answer 2

Data with 2 variables that discover the correlation between them

Bivariate data is essential for correlation and regression analysis.

Question 3

What is the equation form of a regression line?

Answer 3

y = a + bx

In this equation, ‘a’ is the y-intercept, and ‘b’ is the gradient

Question 4

What correlation indicates a strong relationship where both variables move in the same direction?

Answer 4

Strong positive correlation

This means as one variable increases, the other also increases significantly.

Question 5

What correlation indicates a strong relationship where one variable increases while the other decreases?

Answer 5

Strong negative correlation

This suggests a significant inverse relationship between the two variables.

Question 6

What type of correlation suggests a slight relationship where both variables move in the same direction?

Answer 6

Weak positive correlation

This indicates that there is a relationship, but it is not very strong.

Question 7

What type of correlation suggests a slight relationship where one variable increases while the other decreases?

Answer 7

Weak negative correlation

This indicates a weak inverse relationship between the variables.

Question 8

Fill in the blank: Correlation is affected by the presence of _______.

Answer 8

outliers

Outliers can distort the perceived strength and direction of the correlation.

Question 9

The y-axis represents which type of variable?

Answer 9

Dependent (measured) Variable

Question 10

The x-axis represents which type of variable?

Answer 10

Independent (changed) Variable