Linear model 1

Question 1

What is “The General Model Equation”?

Answer 1

A conceptual representation of all statistical models, with the following form:
outcome = model + error

Question 2

What can we use models to predict? What exactly is a model?

Answer 2

The outcome for a particular case
The model itself is a set of mathematical assumptions (a formula) that assume properties about a population, this is always subject to some degree of error

Question 3

What do linear models allow us to predict?

Answer 3

An outcome from one or more predictor variables

Question 4

Define the term predictor(s)

Answer 4

The variable(s) that you hypothesise will predict the outcome.

Question 5

Define the term outcome

Answer 5

The variable that we hypothesise will vary, depending on the predictor.

Question 6

What is the linear model equation for a straight line?

Answer 6

y = mx + b

Question 7

What is meant by b0 and b1?

Answer 7

b0 - the intercept (where the line crosses 0 on the y-axis)
b1 - the slope (the gradient of the line - the difference in y for every unit increase in x)

Question 8

Define “The Linear Model”

Answer 8

A statistical model representing the linear relationship between a predictor and outcome