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
Multivariable vs multivariate regression - Cross Validated
Feb 2, 2020 · Multivariable regression is any regression model where there is more than one explanatory variable. For this reason it is often simply known as "multiple regression". In the simple …
How to adjust regression models for selection bias?
Feb 20, 2025 · I am trying to better understand how regression models can be made to correct against different biases within the data. For example, consider the following situation: I have a list of …
Null hypothesis for ANOVA for regression - Cross Validated
Oct 26, 2023 · For simple linear regression, the null hypothesis for the ANOVA is that the regression model (fit line) is identical to a simpler model (horizontal line). In other words, the null hypothesis is …
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, …
python - Why is R² not equal to the square of Pearson's correlation ...
Apr 21, 2025 · The Journal of Multivariate Analysis specifies that regression using multiple features to predict one outcome is outside of their scope. Submissions dealing with univariate models, including …
Simple linear regression output interpretation - Cross Validated
I have run a simple linear regression of the natural log of 2 variables to determine if they correlate. My output is this: R^2 = 0.0893 slope = 0.851 p < 0.001 I am confused. Looking at the $...
When to use negative binomial and Poisson regression
Sep 2, 2024 · When would one use a negative binomial regression and when would one use Poisson regression with respect to the mean and variance?
hypothesis testing - Regression model not significant, but the ...
Feb 4, 2024 · Regression model not significant, but the predictor significant Ask Question Asked 2 years ago Modified 2 years ago