Explain clearly the function of and the difference between the following terms:
a. Estimates and estimators
b. R2 and Adjusted R2
Estimates are values that summarize an observed sample. An estimate is therefore a numerical value pf the estimator when it is calculated using data from a specific sample. An estimator is a rule for computing an estimate of a parameter from a sample. It is therefore a function of the sample.
"R^{2}" measures the proportion of the variation in the dependent variable Y explained by the dependent variable X for a linear regression model. Adjusted "R^{2}" is a new version of the R squared that adjust the variable predictors in regression models.
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