Does every variable need to be statistically significant in a ...
Oct 18, 2024 · I recently fit a regression model (ARIMAX) in which some variables (3) were statistically significant and some were not (1). I removed the statistically insignificant variables and refit the …
Support Vector Regression vs. Linear Regression - Cross Validated
Dec 5, 2023 · Linear regression can use the same kernels used in SVR, and SVR can also use the linear kernel. Given only the coefficients from such models, it would be impossible to distinguish …
Why assume normal errors in regression? - Cross Validated
Jul 11, 2025 · The errors in linear regression are often assumed to be normal. My understanding is that this is because of the following reasons, if there are more please feel free to let me know: Mathematical
How to describe or visualize a multiple linear regression model
Then this simplified version can be visually shown as a simple regression as this: I'm confused on this in spite of going through appropriate material on this topic. Can someone please explain to me how to …
regression - What are good RMSE values? - Cross Validated
Apr 17, 2013 · I think you have two different types of questions there. One thing is what you ask in the title: "What are good RMSE values?" and another thing is how to compare models with different …
regression - Why do we say the outcome variable "is regressed on" the ...
Apr 15, 2016 · The word "regressed" is used instead of "dependent" because we want to emphasise that we are using a regression technique to represent this dependency between x and y. So, this …
regression - When is R squared negative? - Cross Validated
Also, for OLS regression, R^2 is the squared correlation between the predicted and the observed values. Hence, it must be non-negative. For simple OLS regression with one predictor, this is equivalent to …
correlation - What is the difference between linear regression on y ...
The Pearson correlation coefficient of x and y is the same, whether you compute pearson(x, y) or pearson(y, x). This suggests that doing a linear regression of y given x or x given y should be the ...
Can we put change scores into regression models?
Jan 23, 2026 · Can we put change scores into regression models? Ask Question Asked 26 days ago Modified 21 days ago
What is the relationship between R-squared and p-value in a regression?
Context - I'm performing OLS regression on a range of variables and am trying to develop the best explanatory functional form by producing a table containing the R-squared values between the linear, …