Co relation Homework Help
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Co relation is basically a statistical technique where it is determined how strongly and effectively certain pairs of variables are related. The importance of Co relation is described in Co relation Homework Help. Alike other statistical techniques Co relation can only be worked out only with certain types of data. Not all data are compatible with Co relation. Mainly it is used for quantifiable data and it cannot be used for any sorts of categorical data. The detailed definition of the Co relation is given in Co relation Homework Help. Clients who are looking for various notes regarding Co relation can refer Co relation Homework Help.
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Various Misconceptions of Co relation
The Co relation has many misconceptions out of which some are enlisted in the Co relation Help as below
1. Co relation and causality: – There is a dictum that “Co relation does not imply causation” which means that we cannot Co relation to represent a causal relationship between the variables. But this dictum should not be wrongly inferred that Co relation won’t be able to indicate the potential existence of relation between the variables.
2. Co relation and linearity: – Through the Pearson Co relation coefficient, the linear relationship between two variables can be represented. But the value that we obtain out of this Co relation coefficient, cannot fully justify the relationship between the two variables. It can be inferred that Co relation coefficient can be represented as a summary statistic but it cannot be used as a summary statistic to replace the visual examination of the data.
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