Basically, if you save your work as a Minitab project, you can resume your work right where you left off. While you can save your work in bits and pieces - the graphs separately from the worksheet -more often than not, it is best to save your entire Minitab " project." A Minitab project includes all of the work created in one session, including multiple worksheets, the Session window, and multiple graph windows. To paste either output or a graph, select Edit > Paste (or use the standard clipboard icon used to denote pasting). To copy a graph window, make the graph window active by clicking anywhere in it, and the select Edit > Copy Graph. To copy output appearing in the Session window, select the desired output using your mouse. The individual course notes will also provide details for each specific use of Minitab within that course.Ĭopying Minitab Output and Graphs into Word The Minitab Help and How-To documentation provides step-by-step instructions on using Minitab to analyze data. You can search for files in your PSU OneDrive account, Google Drive, or from a local folder on your computer. csv) in the Minitab Web App go to File > Open > Worksheet and find your data file. To open Minitab project files (.mpx) in the Minitab Web App go to File > Open > Project and find your Minitab project file. See: How do I access the Minitab Web App. ![]() All faculty and students who use Minitab software for coursework will need to order the Minitab Web App. Penn State users have access to the Minitab Web App, the cloud-based version of the software. Of course, you will learn more about Minitab and its capabilities as you proceed through the course you are taking. This introduction to Minitab is intended to provide you with enough information to get you started using the basic functionality of Minitab. this time with the response as weight and the predictor as height*.A Quick Introduction to Minitab Statistical Software Now, it's just a matter of asking Minitab to performing another regression analysis. ![]() When you select OK, Minitab will enter the newly calculated data in the column labeled height*: Use the calculator that appears in the pop-up window to tell Minitab to make the desired calculation: First, label an empty column, C3, say height*: We can do that using Minitab's calculator. Now, using the fact that the mean height is 69.3 inches, we need to calculate a new variable called, say, height* that equals height minus 69.3. When you select OK, Minitab will display the results in the Session window: Then, select Mean, tell Minitab that the Input variable is height: The easiest way is to ask Minitab to calculate column statistics on the data in the height column. We can first ask Minitab to calculate \(\bar\) the mean height of the 10 students. It's easy enough to get Minitab to estimate the regression equation of the form: Now, as mentioned earlier, Minitab, by default, estimates the regression equation of the form: (The above output just shows part of the analysis, with the portion pertaining to the estimated regression line highlighted in bold and blue.) You may have to page up in the Session window to see all of the analysis. In our case, we again select weight as the response, and height as the predictor: In the pop-up window that appears, again tell Minitab which variable is the Response (Y) and which variable is the Predictor (X). Select Stat > Regression > Regression., as illustrated here: You can find regression, again, under the Stat menu. The second method involves asking Minitab to perform a regression analysis. A new graphics window should appear containing not only an equation, but also a graph, of the estimated regression line: In our case, we select weight as the response, and height as the predictor: In the pop-up window that appears, tell Minitab which variable is the Response (Y) and which variable is the Predictor (X). Select Stat > Regression > Fitted Line Plot., as illustrated here: ![]() You can find the fitted line plot under the Stat menu. Now, the first method involves asking Minitab to create a fitted line plot. In either case, we first need to enter the data into two columns, as follows: Let's use the height and weight example from the last page to illustrate. There are (at least) two ways that we can ask Minitab to calculate a least squares regression line for us.
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