To analyze the type of data represented in the scatterplot with the x-axis as temperature in degrees Celsius and the y-axis as feet above/below sea level, the following responses would be applicable:
- Bivariate - The scatterplot involves two variables: temperature and elevation.
- Decreasing or Increasing - Depending on the specific trends shown in the scatterplot, it could show either a decreasing or increasing trend. You would need to assess the scatterplot to determine which applies.
- Non Linear Relationship - If the data points do not form a straight line but instead show a curve or other non-linear pattern, this would be applicable.
If you see a clear linear trend (either increasing or decreasing), you might also consider the "Linear Relationship" option. However, since the scatterplot could potentially depict a non-linear relationship based on the data, that option is included as a possible response depending on the actual observation of the plot.
In summary, the best answers without seeing the data specifically would be:
- Bivariate
- Non Linear Relationship
- Decreasing or Increasing (depending on the plot’s trend).
If forced to choose three distinctly, you could choose:
- Bivariate
- Non Linear Relationship
- Decreasing or Increasing (based on observed trend).