Week 3.2 IRM

Data = Difference between height and shoe size Model = Estimate of the relationship between height and shoe size Error = Difference between data and correlation line Over fit = Including so many variables that the model perfectly fits the data, but may not generalize well

A model with no error = The correlation line perfectly matches the data points A model with little error = The correlation line closely follows the data points, but not perfectly A model with lots of error = The correlation line does not closely follow the data points A good statistical model = The smaller the error, the better the model fit

Sex = Could be a covariate that, if included, may improve the detection of a significant effect Height in cm = One variable in a correlation with shoe size Shoe size EU = One variable in a correlation with height Error = The smaller it is, the better the model fit

<p>Statistical Model = Uses maths to summarise a dataset relative to multiple variables Model Error = Difference between the measured data and the predicted data from the model Descriptive Statistics = Statistics that describe the data Inferential Statistics = Use of statistical models to make inferences about the data</p> Signup and view all the answers

<p>$Data = model + error$ = Represents that no statistical model is perfect and there will always be an error $London = model of London + wrong bits$ = An example of a statistical model equation $Residuals$ = Another term for model error $Height = model of Height + error$ = An example of a statistical model equation for height</p> Signup and view all the answers

<p>Statistical Model Error = Tells us that we don’t fully understand our outcome/dependent variable Reducing Model Error = May increase the chance of detecting a significant effect Data = Comprises of the model and error Predicting Values = A function of models but these predictions will always have error around them</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>False</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>True</p> Signup and view all the answers