FORESTRY
AGRICULTURAL STATISTICS AND ECONOMICS
Question
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I need to study more.
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Detailed explanation-1: -Scatterplots require that both variables be quantitative. III. Every least-squares regression line splits coordinate points as proportionally equal as possible.
Detailed explanation-2: -Pearson’s should only be used when there is a linear relationship between and . A scatterplot should be constructed before computing Pearson’s to confirm that the relationship is not non-linear.
Detailed explanation-3: -The outcome variable, also known as a dependent variable. A scatterplot can be used to display the relationship between the explanatory and response variables. Or, a scatterplot can be used to examine the association between two variables in situations where there is not a clear explanatory and response variable.