Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with regression
Search options not deleted
user 13291
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
1
vote
1
answer
343
views
Kernel regression results in diverse outputs
I am using kernel regression to build a prediction model. For the same, I am using np package. It is working fine, but I observed in multiple runs on the same data, it produces different results. …
- 300
2
votes
1
answer
210
views
Different models for different time durations of a day
I have hourly temperature and power consumption data of several days of a month. The pattern is almost similar across days like this:
Using this data I want to predict the usage of a coming day. I h …
- 300
1
vote
1
answer
678
views
Model selection by Interpreting p-value of anova function
I am trying to interpret the p-values for model selection. Here is a sample code taken from a book (An Intro. to stat. Learning, page 290, by Gareth James et al.)

Null-hypothsis: Model M1 is suffi …
- 300
2
votes
1
answer
235
views
Underlying model for prediction using different prediction variables
I have time-series energy consumption data for a duration of one-month. The frequency of data is half-hourly. The features of dataset are
temperature - temperature value at particular time instant
h …
- 300