Questions tagged [regression]

Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

17,570 questions
4 views

How to calculate accuracy of Linear Regression graph in R?

What is the function to calculate the accuracy of the Prediction linear regression model against the Actual model? ...
6 views

Is it possible to find Normalized Root Mean Square Error (NRMSE) of Root Mean Square Error (RMSE) in R?

I have code in R that calculates the RMSE from a Linear Regression model: ...
21 views

1k views

Gradient descent doesn't find solution to ordinary least squares on this dataset?

I have been studying linear regression and tried it on below set {(x,y)}, where x specified the area of house in square-feet, and y specified the price in dollars. This is the first example in Andrew ...
27 views

Lag regression independent variables in dynamic panel: which Explanation of the signs? [Resolved]

In the famous paper " Richard Blundell & Stephen Bond (2000): GMM Estimation with persistent panel data: an application to production functions, Econometric Reviews, 19:3, 321-34" the authors ...
17 views

Machine learning to detect wear on a machine axis

I have a machine that moves with one axis in the same direction (basic position A to end position B). While driving, the torque is measured and recorded every 10 milliseconds. This looks something ...
151k views

Interpretation of R's lm() output

The help pages in R assume I know what those numbers mean, but I don't. I'm trying to really intuitively understand every number here. I will just post the output and comment on what I found out. ...
32 views
+50

Accounting for errors in independent variable through Gaussian process regression

In Gaussian process regression (GPR), one applies a kernel (i.e. covariance function) to describe the similarity between observed and predicted data in the domain. The diagonal of the covariance ...
340 views

How to deal with non-uniform data density in regression?

I have a program that can detect an object in an image. It will either output a confidence in [0, 1], or "no detection" (which can be interpreted as 0 confidence). I have collected a bunch of images ...
8 views

Multivariate Adaptive Regression Splines interpreting hinge coefficients

I am learning MARS using the earth package in R. I read about MARS on page 321 of The Elements of Statistical Learning https://web.stanford.edu/~hastie/Papers/ESLII.pdf and the tutorial here http://...
11 views

Variance inﬂation factors for time series

R code: I got an error by using vif function. ...