regression

  1. correlation coefficient in linear regression
  2. Are these methods suitable for predicting a numeric value?
  3. How do I compute the partial F statistic?
  4. Control for time trend in difference-in-differences?
  5. model for regression when independent variable is auto-correlated

  6. Error incurred by missing important variables in a regression model

  7. How to deal with large number of times series?

  8. Is there an R package for MCMC estimation of Generalized Method of Moments?

  9. Is there a formula for omitted variable bias for multiple variables?

  10. Estimating $R^2$ when some coefficients are forced (i.e., restricted coefficients)
  11. Results vary between XGBoost and Logistic regression

  12. Terminology question; Cross-sectional study and logistic regression - "predictors" or "correlates"?

  13. Bayesian modeling of 2x2 factorial design. Am I doing it right?

  14. How do I check wether a time series is weakly dependent?

  15. Confidence Interval of Slope of the Regression
  16. Residual vs fitted plot interpetation - looks unfamiliar!

  17. Dummy variables makes independent variable signfiicant

  18. Can you remove an independent variable that is questionable?

  19. Why does linear regression use a cost function based on the vertical distance between the hypothesis and the input data point?

  20. Why do standard errors change when we remove a variable from the regression?

  21. Checking adequacy of a model in R
  22. Creating Model from Multiple Regression Analysis Result SPSS

  23. Predicting variance of residuals of multivariate linear regression

  24. Binary logistic regression with multiple independent variables
  25. What regression algorithms can be used for a multi-featured data set to predict values (labels) belonging to multiple categories?

  26. Is it a problem to get a negative adjusted r-squared?

  27. Probability from Logit Regression

  28. Age-adjustment (and its realization with mgcv): add age as covariate to the regression or do an internal standardization?
  29. How exactly is the sum (or mean) centering constraint for splines (also w.r.t. gam from mgcv) done?
  30. Using a binary independent variable with a GLMM
  31. Bayesian Linear Regression: Error heteroscedasticity with conjugate form?

  32. Classification vs Linear Regression
  33. How to choose the cutoff probability for a rare event Logistic Regression

  34. How does Stata estimate regressions in with large data sets (given small matsize)?
  35. Odds ratio for poisson regression
  36. Really simple question! Which analysis to use?
  37. MEDICAL STATISTICS QUESTION: When log odds (B) is 0.034 and OR (Exp B) is 1.034 for death, what is the OR for a 10 year change in age?

  38. Interpreting points outside of 95% confidence interval (linear regression
  39. Difference between Path analysis and Interaction term in a linear model

  40. How can in interpret the SVM summary on e1071 package in R?
  41. Statistical test for testing different between groups in terms of efficiency in regression
  42. Multivariate linear regression vs. several univariate regression models

  43. How does perfect separation in logistic regression affect the AUC?
  44. Vertically translated depreciation curve: Update the exponential regression coefficient
  45. Logistic Regression: What do people exactly mean by “cell size”? (example: small cell N's but no warning messages and convergence criteria met.)
  46. How to calculate standard errors in OLS without inverting the X'X matrix?

  47. How do you Interpret RMSLE (Root Mean Squared Logarithmic Error)?

  48. How can missing data be dealt with when using splines or fractional polynomials?

  49. Difference between regression between groups vs across all subjects (continuum)?
  50. Regression and Correlation

  51. Unequal sample sizes, unequal variances, non-normality, more than 2 groups. Can I use ordinal logistic regression?

  52. Bootstraps based inference
  53. Reporting linear regression with Post-hoc comparisons
  54. Conditional effects in a multiple regression model
  55. What regression models can choose between more than two categories?

  56. How does one calculate the F-value-threshold used to evaluate an F-test?

  57. Linear regression on aggregate and missing data
  58. Relationship Between Residuals and Inference Error in Linear Regression
  59. Is there a relationship between variance in a dependent variable and R2?

  60. Can you take a log of a probability?
  61. How to interpret plots on regression discontinuity design (RDD) in R?

  62. Replacing QR Decomposition for matrix decomposition instead of SVD

  63. Minimum sample size for a large no of independent variable
  64. Evaluating dispersion parameter and goodness of fit for binomial regression in r
  65. Test metrics for regression stability
  66. R Studio Code Please Help

  67. Can I run a logistic regression if my dependent variable has one category?
  68. Testing if functional dependence is the same in two datasets

  69. How to run a regression with a categorical DV and both categorical and continuous IV's (in R)

  70. How to build a dependent variable from a group of independent (possibly dummy) variables
  71. Interpret R lmr() output for ordinal logistic regression?

  72. RegressionModel explanation
  73. I have panel data, 2 countries over time. But i want to see female/male differences in one of my dependent variables. How?

  74. PLS vs. linear regression
  75. Computing the Standard Error of the Estimate from the ANOVA table
  76. Testing sum of two parameters different from 0 on a given interval in regression
  77. residuals of fractional probit regression

  78. Instrumental variables in a cointegrated regression

  79. Hierarchical data, labels sometimes only avaiable per group
  80. OLS Regression versus Neural Network with regression output

  81. How to model the probability of each horse to win in each horse race?

  82. AIC of ridge regression: degrees of freedom vs. number of parameters

  83. Creating interaction terms for regression

  84. M-estimation for regression

  85. Prediction of independent data with PLS

  86. How to probe/plot a three-way interaction in a Poisson regression model

  87. How to add knots to auto.arima() regressors?

  88. Deep Neural Network using mixture of image and non image data

  89. Cross-validation for time series regression model

  90. Is there any practical situation where the response variable of a poisson regression is fuzzy
  91. Choosing Variables to a Multiple Regression Model

  92. The Kaplan-Meier weighted generalized M-estimation
  93. How does errors in yi affects the error of the slope in linear regression?
  94. Survival Analysis: Stop and Restart Time at Risk
  95. R: Regression, Two-stage Least Squares
  96. Plotting the results of linear regression model using ggplot2 - interpretation
  97. Hypothesis testing within levels of indicator variables

  98. fitting a curve to water data using python

  99. Can I use Covariate Balancing Propensity Score method to adjust for confounding in a Cox Regression model with splines?

  100. Is there a way to specify reduced-rank regression using $\mathbf{y} = \mathbf{X}\boldsymbol\beta + \boldsymbol\epsilon$?