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Bivariate Data - Coggle Diagram
Bivariate Data
Variables
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Discrete Variable: A variable that takes on distinct, countable values. When counting things, it's known as discrete data.
Continuous Variables: A variable that can take on any value in a range. When measuring things, its known as continuous data.
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Data
Multivariate Data: Multivariate data involves more than two dependent variables that will result in a single outcome.
Bivariate Data: Bivariate data is the analysis of a relationship between two variables. One variable will be independent, the other dependent.
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Data for two variables (usually two types of related data). Example: Ice cream sales versus the temperature on that day. The two variables are Ice Cream Sales and Temperature.
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Regression: Regression is defined as a statistical method that helps to analyse and understand the relationship between two or more variables of interest.
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For example, this graph is used to show the reported amount of happiness at different income stages. Essentially how happy are people with different income.
Predictions:
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Interpolation: A statistical method used to determine a unknown value using existing values in a given data set.
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For example, let's suppose a gardener planted a tomato plant and she measured and kept track of the growth of the tomato plant every other day. This gardener is a very curious person, and she would like to estimate how tall her plant was on the fourth day.
