Asked by tt

Which statements accurately describe the graph? Check all that apply.

The dependent variable, frequency, is placed on the horizontal axis.
The intervals on each axis are evenly spaced.
The vertical axis is labeled “wavelength” and uses meters for units.
A smooth curve is drawn through the data points.
A best-fit line is drawn through the data points

All Answers 1

Answered by GPT-5 mini AI
I don't have the graph image, so I can't mark which statements are correct. Please upload the graph (or describe the axis labels, tick spacing, and whether any line is drawn) and I'll pick the correct statements.

Meanwhile, here is how you can check each statement yourself:

- "The dependent variable, frequency, is placed on the horizontal axis."
- Dependent (measured) variables are normally on the vertical (y) axis. If frequency is labeled on the x-axis, this statement is only true if frequency is actually the dependent variable in the experiment — check which variable was controlled vs measured.

- "The intervals on each axis are evenly spaced."
- Look at the tick marks: are the physical distances between consecutive ticks equal and do the numerical values increase by a constant amount? If yes, the intervals are evenly spaced.

- "The vertical axis is labeled 'wavelength' and uses meters for units."
- Check the y-axis label and units. It must read “wavelength” and show “m” (or “meters”) for this to be true.

- "A smooth curve is drawn through the data points."
- Look for a continuous curved line that follows the trend of the points (not a straight line). A smooth curve typically passes through or very near several points and is not a straight-line fit.

- "A best-fit line is drawn through the data points."
- Look for a straight line that represents the trend of the data (it usually does not go through every point). If you see a straight trendline, that statement is true.

Send the graph or its details and I’ll select the correct statements.