![]() whether the fit of the line to the data is good or bad, and why.the equation of the best-fit trendline to your data.Then record the following information on your report: ![]() Print out a full-sized copy of your prepared graph and attach it to your report.You must judge the quality of the fit and the suitability of this type of fit to your data set. Note that the program will always fit a trendline to the data no matter how good or awful the data is. Generally, R 2 values of 0.95 or higher are considered good fits. The closer the R 2 value is to 1, the better the fit. The R 2 value gives a measure of how well the data is fit by the equation. The equation that now appears on your graph is the equation of the fitted trendline.Now select the Display Equation on Chart box and the Display R-squared value on Chart box. Notice that the Linear button is already selected.This will display the option shown in Figure 7. Click the Chart Elements button next to the upper-right corner of the chart.When you do this, all the data points will appear highlighted. Do this by clicking on any one of the data points. To do this you first need to "activate" the graph. A trendline represents the best possible linear fit to your data. Your next step is to add a trendline to the plotted data points.To change the titles, click the text box for each title, highlight the text and type in your new title (Figure 6).Note that it is important to label axes with both the measurement and the units used. Click on Axis Titles (select Primary Horizontal Axis Title and Primary Vertical Axis Title) to add labels to the x- and y-axes.The graph should be given a meaningful, explanatory title that starts out “Y versus X followed by a description of your system.Switch to the Design tab, and click Add Chart Element > Chart Title > Above Chart.If all looks well, it is time to add titles and label the axes of your graph (Figure 5).You should now see a scatter plot on your Excel screen, which provides a preview of your graph (Figure 4). ![]()
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