In general,increasing the number of observations will lead to a higher coefficient of determination.

Question

Quizplus · Accepted Answer

The coefficient of determination (R-squared) is a statistical measure that represents the proportion of the variance in the dependent variable that is explained by the independent variable(s). As the number of observations increases, the variation in the data is reduced as the sample size becomes more representative of the population. This results in a more accurate estimation of the relationship between the variables, leading to a higher R-squared value. However, there may be instances where increasing the sample size does not necessarily improve the R-squared value, such as when the relationship between the variables is weak, nonlinear, or affected by outliers.

In General,increasing the Number of Observations Will Lead to a Higher