Final answer:
To select the grid with the best scales for the x-axis and y-axis, it is essential to use scales that show all data and make trends easily identifiable, without making the scale too large or too fine, and ensure the scale's significant figures are coarser than the measurements' significant figures.
Step-by-step explanation:
The question is about choosing the grid with the best x-axis and y-axis scales to present given data. When selecting scales for a graph's axes, two key considerations are ensuring all the data is shown and that trends in the data are easily identifiable. A scale too large will obscure the data changes, whereas a scale too fine will require a larger graph for representation.
The number of significant figures in the axis values should also be coarser than the number of significant figures in the measurements. It is crucial to label each axis with the name of each variable and the units in parentheses, and to set scales that include all data points and enhance the visibility of any trends. For instance, if the data involve time intervals of 10 minutes, one may number the x-axis from 0 to 70 minutes, marking every 10 minutes. Similarly, for distance measurements, a y-axis scale from 0 km to 160 km, with marks every 10 km, could be suitable.