Microsoft Excel is a commercial spreadsheet application written and distributed by Microsoft for Microsoft Windows and Mac OS X. It features calculation, graphing tools, pivot tables and a macro programming language called Visual Basic for Applications. It has been a very widely applied spreadsheet for these platforms, especially since version 5 in 1993. Excel forms part of Microsoft Office. The current versions are 2010 for Windows and 2011 for Mac.
Microsoft Excel is a commercial spreadsheet application written and distributed by Microsoft for Microsoft Windows and Mac OS X. It features calculation, graphing tools, pivot tables and a macro programming language called Visual Basic for Applications. It has been a very widely applied spreadsheet for these platforms, especially since version 5 in 1993. Excel forms part of Microsoft Office. The current versions are 2010 for Windows and 2011 for Mac.
SCATTER PLOT IN EXCEL
Objectives:
- Enter and format data in an Excel spreadsheet in a form appropriate for graphing
- Create a scatter plot from spreadsheet data
- Insert a linear regression line (trendline) into the scatter plot
- Use the slope/intercept formula for the regression line to calculate a x value for a known y value
- Explore curve fitting to scatterplot data
- Create a connected point (line) graph
- Place a reference line in a graph
Objectives
- Enter and format data in an Excel spreadsheet in a form appropriate for graphing
- Create a scatter plot from spreadsheet data
- Insert a linear regression line (trendline) into the scatter plot
- Use the slope/intercept formula for the regression line to calculate a x value for a known y value
- Explore curve fitting to scatterplot data
- Create a connected point (line) graph
- Place a reference line in a graph
Introduction Beer's Law states that there is a linear relationship between concentration of a colored compound in solution and the light absorption of the solution. This fact can be used to calculate the concentration of unknown solutions, given their absorption readings. First, a series of solutions of known concentration are tested for their absorption level. Next, a scatter plot is made of this empirical data and a linear regression line is fitted to the data. This regression line can be expressed as a formula and used to calculate the concentration of unknown solutions.
Part 1 - Beer's Law Scatter Plot and Linear Regression
This was the graph that I did:>
Next graph is about Titration Data.Lets look at it
Part 2 - Titration Data Plotting
Creating a Scatter Plot of Titration Data
In this next part of the tutorial, we will work with another set of data. In this case, it is of a strong acid-strong base titration. With this titration, a strong base (NaOH) of known concentration is added to a strong acid (also of known concentration, in this case). As the strong base is added to solution, its OH- ions bind with the free H+ions of the acid. An equivalence point is reached when there are no free OH- nor H+ ions in the solution. This equivalence point can be found with a color indicator in the solution or through a pH titration curve. This part of the tutorial will show you how to do the latter.
This was the graph that I had plot:>
There are two of it altogether.One with non-gridlines and the other one with the gridliness....
Part 3 : Finding the line of best fit
The table shows the temperature at the start of the race and the percentage of runners injured in eight running of the Boston Marathon.
These are the graph detailed about Boston Maratahon
Part 4 : Quadratic regression
The following table shows the number of new housing starts (in thousand) for 1990 through 1997.
And this was the graph related to it....>
After all,thanks a lot Madam...may Allah bless you n your family.....=)


























