I need a suggestion for what to go by for a couple of charts.

1. (-4,1), (-1,3.4), (1.5, 5.4), (6.4, 9.32) and (9,11.4)

2. (-4, 4.4), (-1, 2), (2.4, -0.72), (11, -0.76), and (14, -10)

Thank you!

To determine what kind of charts to use for the given data points, we need to understand the nature of the data and the relationship between the variables.

For the first set of data points: (-4,1), (-1,3.4), (1.5, 5.4), (6.4, 9.32), and (9,11.4)
This data appears to consist of pairs of x and y values. The x-values seem to be increasing, while the y-values are also increasing. This suggests a positive relationship between the variables. To visualize this type of data, a scatter plot would be appropriate. A scatter plot will show how the y-values change as the x-values change.

To create a scatter plot, follow these steps:
1. Draw a set of axes with an appropriate range for both x and y values.
2. Plot each point on the graph, with the x-value representing the horizontal axis and the y-value representing the vertical axis.
3. Connect the points with straight lines, if necessary, although this may not be relevant for scatter plots.

For the second set of data points: (-4, 4.4), (-1, 2), (2.4, -0.72), (11, -0.76), and (14, -10)
Similar to the first set, this data also consists of pairs of x and y values. However, in this case, the x-values do not have a clear pattern or trend. The y-values, on the other hand, seem to have some variation; they increase, then decrease. This suggests a more complex relationship between the variables. To visualize this type of data, a line graph or a curve plot would be appropriate.

To create a line graph or curve plot, follow these steps:
1. Draw a set of axes with an appropriate range for both x and y values.
2. Plot each point on the graph, using the x-value for the horizontal axis and the y-value for the vertical axis.
3. Connect the points with a line or curve. If a line does not appear to accurately represent the data, you might need to use a curve or spline to capture the fluctuations more accurately.

Remember, the choice of chart depends on the nature and purpose of the data you are trying to represent.