Math

Question 1

Cause + effect

Answer 1

A change in x produces a change in y
Example- on a clear sunny day in the afternoon in the summer the higher the temperature the quicker you will get burnt

Question 2

Reverse chase and effect relationship

Answer 2

The dependent and independent variables are reversed in the process of establishing causality
Example- this is a positive correlation between the amount of coffee consumed by adults ( independent ) vs their v levels of anxiety (dependent)

Question 3

Accidental realtionship

Answer 3

Correlation exists without any casual realtionship between variables
Examples- there’s a positive correlation between the number of females studying science and the amount of game shows in tv

Question 4

Presumes relationship

Answer 4

A correlation does not seem to be accidental even though cause and effect realtionship or common cause factor is apparent
Example - there’s a positive correlation between a persons fitness level of adventure movies they watch

Question 5

Common cause relationships

Answer 5

An external variable causes two variables to change in the same way
Examples- a graph if ice cream sales vs tomato sales in the summer