jmw
Industrial
- Jun 27, 2001
- 7,435
I have been tabulating data for caustic soda density vs concentration and temperature.
I then wanted to plot the data (which showed up two errors in the source data).
I needed to determine a good fit between the concentration and the density at 20degC and wanted to compare a linear fit and a second order polynomial (which then involved plotting the errors from the trend fits against the tabulated data).
Having selected my data I then went to the chart icon and selected line chart, plotted the curves and applied trend lines.
For the data 20% TO 30% I got a linear fit of y=2x or concentration = 2 x density, which is absurd.
I tried again using the scatter graph instead of line and this time got some reasonable results such that when I plotted the solutions I got a pretty good fit between the linear and the source data with minimal errors (y = 91.859x - 91.998).
So, why shouldn't I use "line" when graphing and why did it guive such poor results?
JMW
I then wanted to plot the data (which showed up two errors in the source data).
I needed to determine a good fit between the concentration and the density at 20degC and wanted to compare a linear fit and a second order polynomial (which then involved plotting the errors from the trend fits against the tabulated data).
Having selected my data I then went to the chart icon and selected line chart, plotted the curves and applied trend lines.
For the data 20% TO 30% I got a linear fit of y=2x or concentration = 2 x density, which is absurd.
I tried again using the scatter graph instead of line and this time got some reasonable results such that when I plotted the solutions I got a pretty good fit between the linear and the source data with minimal errors (y = 91.859x - 91.998).
So, why shouldn't I use "line" when graphing and why did it guive such poor results?
JMW