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Smith Biology Name Graphing Review Save this for the entire year! Introduction Line graphs compare two variables. Each variable is plotted along an axis. A line graph has a vertical axis and a horizontal

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SmithName ______________________________BiologyPage 1Graphing ReviewIntroductionLine graphs compare two variables.Each variable is plotted along an axis.A line graph has a vertical axis and ahorizontal axis.For example, if you wanted to graph the height of a ball after you have thrown it, you would put timealong the horizontal, or x-axis, and height along the vertical, or y-axis.Line graphs are important in science for several reasons such as:showing specific values of data.If one variable is known, the other can be determined.showing trends and relationships in data clearly.They visibly depict how one variable is affected by the other asit increases or decreases.allowing the viewer to make predictions within recorded data, calledinterpolation, and to make predictionsabout data not yet recorded, calledextrapolationInterpolation vs. ExtrapolationDetermine which of the examples below is interpolation and which is extrapolation.Explain why.1.The value of Sarah’s car in 2004 was $17,500.______________________________________________________2.The value of Sarah’s car in 2008 was $1,900._______________________________________________________How to Construct a Line Graph:1.Identify the Variables & Label the Axesa.Independent Variable–factor that is varied in an experiment and specifically controlled by theexperimenteri.Label along the x-axis (horizontal)–include unitsii.Typically found on the left side of a data tableb.Dependent Variable–factor that is measured in an experiment and will change as a result of theindependent variablei.Label along the y-axis (vertical)–include unitsii.Typically found on the right side of a data table2.Determine the Graph Scalea.Determine the magnitude (numeric value) of each variableb.Establish a scale that best fits the range of each variablec.Spread the graph to use the MOST available space (use at least ¾ of the graph)d.Be consistent throughout each axes’ scale3..

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