FORESTRY
AGRICULTURAL STATISTICS AND ECONOMICS
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]


How close the points cluster around a linear pattern.


The relationship between the explanatory and response variable.


The percent of variation of the y variable as explained by the LSRL.


The residual affect from the LSRL as compared to it’s correlation.

Detailed explanation1: In linear regression, rsquared (also called the coefficient of determination) is the proportion of variation in the response variable that is explained by the explanatory variable in the model.
Detailed explanation2: Correlation, r, is a measure of linear association between two variables. Coefficient of determination, r2, is a measure of how much of the variability in one variable can be “explained by” variation in the other. For example, if r=0.8 is the correlation between two variables, then r2=0.64.
Detailed explanation3: RSquared (R² or the coefficient of determination) is a statistical measure in a regression model that determines the proportion of variance in the dependent variable that can be explained by the independent variable. In other words, rsquared shows how well the data fit the regression model (the goodness of fit).