So all I have to do is take the square root of this value here. So we can take this value for R squared, and if we take the square root of R squared, that leaves us with R. Well, R is not shown here, but we do have R squared. The linear correlation coefficient is normally listed in software output with the variable R. But everything we're really going to need is at the top of the display here. And notice there's quite a bit of stuff here. And to find that, we're going to take a look at the Minitab display here. After you’ve done the work to analyze your data in statistical software such as Minitab, it’s likely that you’ll want to organize your output and results into a presentation for colleagues or clients.OK, the first part of this problem asks for the linear correlation coefficient. Types of Control Charts (SPC).There are various types of control charts which are broadly similar and have been developed to suit particular characteristics of the quality attribute being analyzed. Two broad categories of chart exist, which are based on if the data being monitored is “variable” or “attribute” in nature. Variable Control Charts: X bar control chart.This type of chart graphs the means (or averages) of a set of samples, plotted in order to monitor the mean of a variable, for example the length of steel rods, the weight of bags of compound, the intensity of laser beams, etc. In constructing this chart, samples of process outputs are taken at regular intervals, the means of each set of samples are calculated and graphed onto the X bar control chart. This chart can then be utilized to determine the actual process mean, versus a nominal process mean and will demonstrate if the mean output of the process is changing over time. Range “R” control chart.This type of chart demonstrates the variability within a process.After you’ve done the work to analyze your data in statistical software such as Minitab, it’s likely that you’ll want to organize your output and results into a presentation for colleagues or clients. You want your presentation to look great, so check out these tips below for ensuring your graphs look as good in your presentations as they look in the software: 1. Minitab graphs can be too large when you import them into a Word file or PowerPoint presentation. Output pages display output such as graphs or tables after you run an analysis. While you can click and drag a graph image to make it fit the layout, this method can distort the image. Report pages display output that you collect from one or more output pages. Here’s how to size the graph without distortion: From the output pane, you can do the following tasks: To affect the contents of a tab, click the tab, then click next to the output title. Set the appropriate size in Minitab before you copy the graph.Minitab automatically redraws the elements of the graph (such as the title, symbols, etc.), so that they don’t become distorted. Just double-click the graph region (in Minitab) and click the Graph Size tab to change the dimensions: The installation file includes all license types and all languages. #Minitab output download#ĭOWNLOAD DESKTOP APP (LICENSE REQUIRED) Download. When you create a report in PowerPoint, use its Best scale for slide show option to optimize the size of a graph at a given screen resolution. Right-click the item (within PowerPoint) and choose Size and Position, and then check Best scale for slide show. In Minitab, the default graph displays are always clear. Resize critical elements in Minitab before copying.Here are two solutions to maintain clarity: But, when you shrink and resize graphs to fit them into your report, they may not look as crisp. Enlarging the font size of detailed tables and labels can keep them legible in situations where a graph must be dramatically reduced in size. Use a file format that maximizes clarity.The text in the original graph (left) was enlarged beyond its default size (right) within Minitab before copying over to Word or PowerPoint. Though resizing by clicking and dragging within your report isn’t recommended, you can minimize its negative effects with one of the following file formats when you paste your graph using Edit > Paste Special: the Enhanced Metafile to maintain the clearest graph text or the Bitmap format to retain the crispness of graph points and symbols.
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