Workshop 3 - Correlation and Causation

Question 1

Correlation

Answer 1

Mr Pearson invented a standardized number to assess the strength of a linear relationship called correlation coefficient.

Question 2

Strong correlation between variables

Answer 2

Value of 1 - maximum strength

Question 3

No correlation between variables

Answer 3

0 indicates no linear relation

Question 4

Scatterplot

Answer 4

To see the relation between two variables on interval/ratio level

Question 5

Creating a scatter plot

Answer 5

1. Create a graph with 2 axes
2. Place the variables on either the x-axis or the y-axis.
3. Place a dot where the value crosses
4. Repeat this for all values

Question 6

Cross tabulations

Answer 6

You put the frequency of each combination where the row and column cross. Only for variables at nominal or ordinal level

Question 7

Correlation vs. Causation

Answer 7

If two variables are correlated this means that a change in one variable will lead to a change in the other variable.
Whether the one variable is the cause of the change in the other variable cannot be concluded based on a correlation.