Home » FM Dot Plot

# FM Dot Plot

## 2.5 Relationships between two Numerical Variables

### Guidelines to Analysing Numerical Associations

• Begin with context: what does the data represent?
• Identify the explanatory and response variables.
• Assess the form of the association: is it linear, non-linear or is there no association.
• If it is linear, assess the strength (strong, moderate or weak). Ideally, do this using the Pearson’s correlation coefficient (detailed in 2.6 Pearson’s Correlation Coefficient), however if the raw data is not available, a qualitative assessment will suffice.
Read More »2.5 Relationships between two Numerical Variables

## 2.4 Scatterplots and Association between Numerical Variables

### Scatterplots

• Scatterplots are used to visualise data with explanatory and response variables.
• They consist of an x-y axis with each datapoint represented as a dot above its x-value and to the right of its y-value.
• Scatterplots can be used to see relationships between variables. These relationships can be described in terms of form, direction and strength.
Read More »2.4 Scatterplots and Association between Numerical Variables

## 2.3 Relationships between Numerical and Categorical Variables

### Discussing Relationships between Numerical and Categorical Variables

• Begin with context: what does the data represent?
• Compare frequencies between the categories of the categorical dataset.
Read More »2.3 Relationships between Numerical and Categorical Variables

## 1.4 Displaying Numerical Data

Dot Plot Dot plots consist of a number line with each individual datapoint listed as a dot above it’s value. If multiple data points have… Read More »1.4 Displaying Numerical Data