Data Visualisation with Power BI

How should you interpret the correlation coefficient of 0.87 between the variables of height and weight?

Which of the below statements are correct interpretations of the below correlation plot?

All three variables are strongly positively correlated to one another
'GDP per person' is more positively correlated with 'Healthy life expectancy' than it is with 'Social support'
'Healthy life expectancy' is moderately positively related to 'Social support'
No correlation between these variables exist

Using the below dataset showing course enrolments

Course enrollments

Male	Female	Total
21	37	58

Match the correct calculations against the statements

There are X percentage more females enrolments than male enrolments

Against total enrolments, female enrolments represent X more percentage points male enrolments

Match the configuration you would need to create a bubble plot in PowerBI where:

What is this data model displaying?

Select common examples where statistics/ visualisations are used in a misleading manner.

Match the best choice of visualisation to the purpose

Comparing multiple dependant variables against one independent variable

lms