Identify the independent and dependent variables in the dataset and record in Data Table 6. Explain why each variable is independent or dependent. Identify the axis and title for each variable to be used in a graph and record the information in Data Table 6. In the next steps, you will create a line graph that illustrates the relationship between the two variables. In Panel 1, explain why a line graph is the appropriate choice for this dataset. Draw the x-axis and y-axis for the line graph on the sheet of graphing paper, assuring that the scales contain the range of values represented in the dataset. Label the x-axis and y-axis on the graph and include a title. See the background for examples. Place dots on the graph representing the data in Table 2. For example, the first dot (data point) plotted should represent the first row of data: it should be placed in the appropriate position to represent 1 hour and 50 cells. Draw a line through each of the dots on the graph. Add your name and date to the sheet of graph paper. Take a photo of the graph making sure your name and data are visible. Insert the image into Graph 1. Part 2: Creating a Bar Graph Review the data in Table 3 and the description that follows. A = 15 g, Location B = 11 g, Location C = 25 g, Location D = 14 g, Location E = 7 g, Location F = 25 g, Location G = 19 g, Location H = 10 g. © 2014 Science Interactive. All Rights reserved. Table 3. Leaf Mass per Location. Description: A study was conducted to determine how the leaf mass of plants relates to the location where they are growing. In the study, leaves were collected and weighed from plants growing at 8 locations within a large field. Identify the independent and dependent variables in the dataset and record in Data Table 7. Explain why each variable is independent or dependent. Identify the axis and title for each variable to be used in a graph and record the information in Data Table 7. In the next steps, you will create a bar graph that illustrates the relationship between the two variables.