How should outliers be dealt with in linear regression analysis?
Often times a statistical analyst is handed a set dataset and asked to fit a model using a technique such as linear regression. Very frequently the dataset is accompanied with a disclaimer similar...
What happens when we introduce more variables to a linear …
Feb 22, 2020 · What happens when we introduce more variables to a linear regression model? Ask Question Asked 5 years, 8 months ago Modified 4 years, 6 months ago
Assumptions of linear models and what to do if the residuals are …
For your first question, I don't think that a linear regression model assumes that your dependent and independent variables have to be normal. However, there is an assumption about the …
regression - Interpreting the residuals vs. fitted values plot for ...
Therefore, the second and third plots, which seem to indicate dependency between the residuals and the fitted values, suggest a different model. But why does the second plot suggest, as …
Linear regression, conditional expectations and expected values
Jun 25, 2016 · In the probability model underlying linear regression, X and Y are random variables. if so, as an example, if Y = obesity and X = age, if we take the conditional …
Why is ANOVA equivalent to linear regression? - Cross Validated
Oct 3, 2015 · ANOVA and linear regression are equivalent when the two models test against the same hypotheses and use an identical encoding. The models differ in their basic aim: ANOVA …
regression - Why does adding more terms into a linear model …
Jan 12, 2015 · Many statistics textbooks state that adding more terms into a linear model always reduces the sum of squares and in turn increases the r-squared value. This has led to the use …
In linear regression, when is it appropriate to use the log of an ...
Aug 24, 2021 · Taking logarithms allows these models to be estimated by linear regression. Good examples of this include the Cobb-Douglas production function in economics and the Mincer …
regression - What intuitively is "bias"? - Cross Validated
Feb 1, 2019 · I'm struggling to grasp the concept of bias in the context of linear regression analysis. What is the mathematical definition of bias? What exactly is biased and why/how? …
When conducting multiple regression, when should you center …
Jun 5, 2012 · This proof is only for simple linear regression. It doesn't generalize to higher dimensions, but it's pretty simple to show from the multiple linear regression formula for $\hat …