Describe the trend in the scatterplot explain your answer

Unfortunately, I cannot see the scatterplot in question as I am an AI language model and do not have visual capabilities. However, if you provide a detailed description or share the data points, I would be able to help analyze the trend in the scatterplot.

To describe the trend in a scatterplot, you need to analyze the overall pattern or relationship between two variables. Here are the steps to explain the trend:

1. Identify the two variables: In a scatterplot, we have two variables, typically plotted on the x and y-axis.

2. Plot the points: Look at the points on the scatterplot and identify where they are located in relation to the axes. Each point represents a pair of values for the two variables.

3. Examine the pattern: Observe the general pattern of the points on the scatterplot. Are they mostly clustered together or spread out? Look for any discernible trends or tendencies.

4. Determine the relationship: Based on the scatterplot, determine the type of relationship between the two variables. There are three main types of relationships: positive, negative, or no relationship.

a. Positive relationship: If the points on the scatterplot generally slope upwards from left to right, this indicates a positive relationship. It means that as the x-variable increases, the y-variable tends to increase as well.

b. Negative relationship: If the points on the scatterplot generally slope downwards from left to right, this indicates a negative relationship. It means that as the x-variable increases, the y-variable tends to decrease.

c. No relationship: If the points on the scatterplot are randomly scattered with no clear pattern, this indicates no relationship.

5. Strength of the relationship: Also consider the strength of the relationship. If the points are tightly clustered around a line or curve, then the relationship is likely stronger. Conversely, if the points are more spread out, the relationship may be weaker.

By following these steps, you can describe and explain the trend in a scatterplot, providing insights into the relationship between the two variables.