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Jason Samuels's user avatar
Jason Samuels's user avatar
Jason Samuels's user avatar
Jason Samuels
  • Member for 10 years, 1 month
  • Last seen more than 7 years ago
14 votes
2 answers
45k views

Stepwise regression in R – Critical p-value

13 votes
5 answers
75k views

Durbin Watson test statistic

8 votes
1 answer
2k views

Theil-Sen estimation, more than one independent variable

6 votes
2 answers
4k views

Robust regression - a better understanding

6 votes
1 answer
17k views

Stepwise regression in R with both direction

5 votes
1 answer
1k views

Quantile regression forecast accuracy

4 votes
1 answer
1k views

Testing for heteroscedasticity with many observations

4 votes
2 answers
2k views

Cross validating quantile regression

4 votes
1 answer
2k views

Forecasting after Box-Cox transformation

3 votes
1 answer
416 views

Use deseasonalized sales and combine it with another forecasting method to forecast sales

3 votes
1 answer
384 views

Significance of varibles after stepwise regression

3 votes
1 answer
5k views

How to perform stepwise regression without intercept?

3 votes
1 answer
252 views

Polynomial regression rules

3 votes
1 answer
1k views

Exponential regression residual check

3 votes
1 answer
8k views

Interpreting the spread-level plot from R

2 votes
2 answers
14k views

Can a dummy variable only take the values 1 or 0 [duplicate]

2 votes
2 answers
2k views

What are the various forms of heteroscedasticity?

2 votes
1 answer
66 views

Analyzing regression results

2 votes
3 answers
578 views

Correcting data for heteroscedasticity in a regression model

2 votes
1 answer
258 views

AR(1) on autocorrelated data that is not a time-series

2 votes
1 answer
619 views

Observations with very high or very low residuals in regression

2 votes
1 answer
3k views

PLS Regression and collinearity

1 vote
0 answers
599 views

Error message with robust regression in R [closed]

1 vote
0 answers
162 views

Non-normal observations in regression modelling [duplicate]

1 vote
1 answer
1k views

Eliminating observations with big residuals in regression

0 votes
0 answers
614 views

How does R use weights in regression with the lm function

0 votes
0 answers
498 views

Delete observations for regression modelling