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The correlations between both tables are rather small except Waist and sit-up’s (-0.646) and chins (-0.552). Note the strong correlation between the weight and the waist (0.870) in the first table, and sit-up’s and jumps (0.669) and sit-up’s and chins (0.696) in the second table. The first result after the descriptive statistics is the correlation matrix. Results of the canonical correlation analysis Notice that the explained variance is 99.22%. When prompted, opt for the display of the plot with Factor 1 and Factor 2. In the Options tab, verify that both datasets will be centered and reduced.Ĭhoose as well to display the unique plot available in the Charts tab. You can add the Observation labels by ticking the corresponding option and selecting the column A. The columns have a label so leave the option Column labels ticked.
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Y2 corresponds to the exercise data which are in the columns E to G. Y1 corresponds to the physiological data stored in the columns B to D.
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In the General tab, determine the two datasets. Go to the Multiblock Data Analysis menu, and select the function Canonical Correlation Analysis. Set up of the canonical correlation analysis There are two sets of data about the men: The data used in this tutorial are measurements done on middle-aged men in a health fitness club (Dr. Dataset for canonical correlation analysis Not sure if this is the right multivariate data analysis tool you need? Check out this guide.
Correlation data analysis excel how to#
This tutorial will show you how to set up and interpret a Canonical Correlation Analysis in Excel using the XLSTAT statistical software.