it does not provide an easy way to check the distribution of regression residuals. Until it does so, Excel is not an appropriate tool for real analytics. How do we know if a regression model is bogus?

it does not provide an easy way to check the distribution of regression residuals. Until it does so, Excel is not an appropriate tool for real analytics. How do we know if a regression model is bogus?

Chemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-8320, United States ...

“The statistician knows...that in nature there never was a normal distribution, there never was a straight line, yet with normal and linear assumptions, known to be false, he can often derive ...

In experiments, the PXR models built by CPXR are very accurate in general, often outperforming state-of-the-art regression methods by big margins. Usually using (a) around seven simple patterns and (b ...

Linear models, generalized ... of parametric and nonparametric regression lines. One can see that nonparametric regressions outperform parametric regressions in fitting the relationship between the ...

We show that the simple linear regression model performs comparably to the state-of-the-art for the task of human body measurement. The input to the model only consists of the information that a ...