Bivariate

Question 1

What coefficeint of determination show us

Answer 1

“variation in the response variable that can be explained by the variation in the explanatory variable”

Question 2

Correlation between 2 variables

Answer 2

A correlation tells you about the strength of an association between two variables, however it does not give any indication as to the source or cause of the association.

For Example:
strong positve correlation between ppl fainitng and putting on suncsrren but this doesnt mean sunscreen cause ppl to fain, 3rd common variable is obvs the sun and temperature rising

Question 3

There are three main reasons an association would exist but would not be considered a cause.

Answer 3

Common response- associated due to a common third variable

Confounding variable- two possible explanatory variables affecting the one response variables, no way of knowing which is the actual cause of the association

Coincidence- association just happens by chance with no plausible explanation

Question 4

Does association equal causation

Answer 4

By itself, an observed association between two variables is never enough to conclude that the two variables are causally related.
Association ≠ Causation

Question 5

Extrapolition

Answer 5

process of predicting data values outside the range of data is a process called extrapolation, and we should not treat these as valid predictions.

Question 5

intrapolition

Answer 5

, predicting data values within the range of data is a process called interpolation, and we can treat these as valid predictions and we would expect a reasonably reliable result.