jamovi/jmv-i18n — Hebrew @ Hosted Weblate: Correlation matrix

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	Correlation Heatmap
	Correlation heatmap
	Correlation matrices are a way to examine linear relationships between two or more continuous variables.
	Correlation matrices are a way to examine linear relationships between two or more continuous variables. For each pair of variables, a Pearson's r value indicates the strength and direction of the relationship between those two variables. A positive value indicates a positive relationship (higher values of one variable predict higher values of the other variable). A negative Pearson's r indicates a negative relationship (higher values of one variable predict lower values of the other variable, and vice-versa). A value of zero indicates no relationship (whether a variable is high or low, does not tell us anything about the value of the other variable). More formally, it is possible to test the null hypothesis that the correlation is zero and calculate a p-value. If the p-value is low, it suggests the correlation co-efficient is not zero, and there is a linear (or more complex) relationship between the two variables.
	Correlation Matrix	מטריצת קשרים
	Correlation matrix	Correlation matrix
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corrMatrix/options/plots.title • corrMatrix/ui[1][3]/plots.label

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he.po, string 499