On Feb 10, we did a simulation of R^2 in class. What is the average R^2 from the simulation?

Question

BlackTom AI · Accepted Answer

The prompt presents a numerical question rather than a multiple-choice item, and there are no answer options to analyze. The key task here is to interpret the given result from the simulation.

First, restating the core information: the question asks for the average R^2 from the simulation conducted on Feb 10, and the provided answer is 0.44. In simulation studies of R^2, the average R^2 is typically computed by running many replications of a model fitting procedure and then averaging the resulting R^2 values across those replications. This average provides a central tendency measure of how well the model explains the variability in the outcome across the simulated datasets.

Why 0.44 could be plausible:
- R^2 values range from 0 to 1, with higher values indicating more variance explained by the model. An average around 0.44 suggests a moderate level of explanatory power across the simulations.
- The exact value depends on factors such as sample size, number of predictors, noise level, and the true underlying relationship used to generate the data in the simulations.

What this value does not tell us without additional context:
- It does not indicate the distribution of R^2 across simulations (e.g., standard deviation, quartiles).
- It does not specify the model specification or the data-generating process used in the simulations.
- It does not reveal whether 0.44 is high or low for this particular scenario without a baseline or comparison.

If you were checking correctness or replicability:
- Verify the number of simulation runs used to compute the average; a very small number could give a noisy estimate.
- Confirm that R^2 was computed on the same scale and with consistent definitions across runs (e.g., whether adjusted R^2 or plain R^2 was used).
- Ensure that the data-generating process and model-fitting procedure matched the study design described for the Feb 10 simulation.

In summary, given the single numeric result of 0.44 for the average R^2 from the simulation, this value represents a moderate explanatory power on average across simulated replications, assuming standard R^2 computation and consistent methodology throughout the simulation study.

251ECON-184B-1 Pop-up 3

On Feb 10, we did a simulation of R^2 in class. What is the average R^2 from the simulation?

查看解析

登录即可查看完整答案

类似问题

Question at position 11 The coefficient of determination ………….. (Select all that apply)is used to evaluate the goodness of fitis equal to zero for a perfect fittakes values between –1 to +1is equal to negative one for the poorest fit

Calculate R^2 of the regression line for predicting height from shoulder girth, and interpret it in the context of the application.

The correlation coefficient for number of cans of beer and BAC is 0.89. Calculate R^2 and interpret it in context.

In a predictive regression model, in-sample R-squared is computed based on

R-Square question : What is R2 we define total sum of squares (TSS) the explained sum of squares (ESS) the residual sum of squares (RSS)

What is R2 with notations SSR = Sum of Squares REGRESSION SSE = Sum of Squares ERRORS SST = Sum of Squares TOTAL

The closer that the value of R2 is to 1, we would expect:

更多留学生实用工具

考试浏览器助手

风格化写作助手

论文查重助手

文献引用助手

课堂转译助手

课堂笔记助手

Quiz搜索助手

学校历年真题

智能刷题助手

智能匹配练习

希望你的学习变得更简单