The x-axis represents the temperature degrees Celsius and the -axis the feet above/below sea level.
What type of data is represented in this scatterplot? (Choose 3)
• Increasing
• Linear Relationship
• Non Linear Relationship
• Bivariate
• Decreasing
• Univariate
Based on the description provided, we can assume this scatterplot is comparing two variables: temperature in degrees Celsius and elevation in feet relative to sea level. From the information given, we can select the following three types of data represented in the scatterplot:
• Bivariate: Since there are two variables involved (temperature and feet above/below sea level), the data is bivariate. Bivariate data involves pairs of linked data for two quantitative variables.
• Linear Relationship or Non-Linear Relationship: Without seeing the actual scatterplot, we cannot definitively know whether the relationship between the two variables is linear or non-linear. However, you would typically determine this by looking at how the data points are arranged. If they seem to follow a straight line, it would suggest a linear relationship. If they do not form a straight line, it would suggest a non-linear relationship. So you'd choose one of these options based on the actual plot.
• Increasing or Decreasing: This describes the trend of the relationship between the two variables. If the data points show that as temperature increases, the feet above/below sea level also increase, then the relationship is increasing. Conversely, if as the temperature increases, the feet above/below sea level decrease, then the relationship is decreasing. Again, without seeing the scatterplot, we cannot select one of these definitively.
• Univariate: This term would not be applicable here, as univariate data refers to data that consist of only one variable, and in this case, there are clearly two variables involved.
To properly select three types of data represented in the scatterplot, the actual scatterplot must be analyzed to determine whether the relationship is linear or non-linear and whether the trend is increasing or decreasing.
Pick three of the answers provided
Given the nature of the data described and without an actual visualization of the scatterplot, the best approach is to pick the three options that are generally applicable regardless of the specific details of the relationship between temperature and elevation above/below sea level:
• Bivariate: This is a clear choice since the data involves two variables, as mentioned earlier.
From the remaining five options, we would typically need to see the actual scatterplot to determine if the relationship is linear or non-linear, and increasing or decreasing. However, since you ask to pick three out of the list provided without further information, we can only speculate. If we consider common patterns in environmental data, it might be reasonable to presume the following:
• Non-Linear Relationship: Temperature and elevation have a complex relationship that depends on many factors, such as geographic location, weather patterns, and time of year. It wouldn't be uncommon for this relationship to be non-linear, so this might be a good guess.
• Decreasing: A general trend that could potentially be observed is that as you go higher above sea level (increase in feet), the temperature usually decreases due to thinner air and other atmospheric conditions. Conversely, as you go below sea level, temperatures may increase due to changes in atmospheric pressure and other factors. This is a generalization and may not hold true in all cases.
These three options are picked based on the general knowledge that the data is bivariate and the common environmental trends that might be reflected in such data:
1. Bivariate
2. Non-Linear Relationship
3. Decreasing
Please note that the last two picks are speculative and would need confirmation from the actual scatterplot data.
The scatterplot described represents a combination of three types of data: Bivariate, Non Linear Relationship, and Univariate.
1. Bivariate: A scatterplot is a graphical representation of bivariate data, which means that it displays the relationship between two variables. In this case, the variables are temperature in degrees Celsius and the feet above or below sea level.
2. Nonlinear Relationship: A scatterplot is said to have a nonlinear relationship when the plotted points do not follow a straight line pattern. In this case, since the x-axis represents temperature and the y-axis represents elevation, it is likely that the relationship between these variables is not linear. Instead, it might exhibit curves or other non-linear patterns.
3. Univariate: Although the scatterplot displays bivariate data, it also provides information about one of the variables as well. In this case, the y-axis represents the elevation alone, essentially making it a univariate plot on that axis.
So, the scatterplot represents Bivariate data, exhibits a Nonlinear Relationship between temperature and elevation, and can also provide information about the Univariate variable of elevation by itself.