All Questions
Tagged with linear-regressioncategorical-data
13 questions
0votes
2answers
39views
Understanding the Role of Dummy Variables in Categorical Regression Models
In a categorical regression model with $k$ categories, we use $k-1$ dummy variables. I understand that the $k$-th dummy variable is redundant because the information from the first $k-1$ dummies is ...
- 101
0votes
1answer
33views
Help me identify the type of plot and the relationship between the dependent variables
Question: I am not sure how to describe the sample graph attached. Can you please help me identify the type of plot and how to statistically measure the relationship between the dependent variable (Y-...
1vote
2answers
867views
Linear Regression with Category variables
I'm currently learning and exploring machine learning and understand the basics of linear regression based on two numerical variables, but now I wish to go a little further and need some guidance ...
- 111
0votes
1answer
46views
For very simple linear regression can we quantify the prediction accuracy hit between using one hot encoding and simple numerical mapping?
Suppose I had a simple linear regression model that had the following input or X variable: ...
4votes
4answers
9kviews
How do you predict a continuous variable when all your independent variables are categorical
I am new to data science and ML. Recently I have been given a sales dataset which contains weekly sales of a fashion brand. It has information about the product like category(t shirt, polo shirt, ...
- 41
1vote
0answers
26views
Poisson Model (w/ multiple levels X)
Question Is Poisson model the best method for predicting counts among multiple levels within nominal variable? Details Imagine data of 7000 observations, where output= Obs.Count {numeric,0,1,2..8} ...
- 133
1vote
1answer
148views
Linear regression model with (categorical) predictor variables
I used LM model with (categorical) predictor variables on my data in r like this (I have count variable as dependent/target variable): ...
- 111
2votes
1answer
116views
Selecting the right time series model [closed]
Using Python, I am trying to predict the future sales count of a product, using historical sales data. I am also trying to predict these counts for various groups of products. For example, my columns ...
- 131
4votes
1answer
4kviews
Handling categorical variables in linear regression and random forest
In the linear regression, when we have a categorical explanatory variable with $n$ levels, we usually remove one level and call it a baseline level and fit the model on the remaining levels. And the ...
- 83
6votes
1answer
2kviews
Why after adding categorical data the Linear Regression fails?
Based on a training set we applied a simple Linear Regression on some attributes that all were numeric. Now we have more attributes in terms of categories and of course we applied one-hot-encoding to ...
1vote
1answer
812views
How to visualize (make plot) of regression output against categorical input variable? [closed]
I am doing linear regression with multiple variables. In my data I have n = 143 features and m = 13000 training examples. Some of my features are continuous (ordinal) variables (area, year, number of ...
5votes
1answer
15kviews
Categorical and ordinal feature data representation in regression analysis? [closed]
I am trying to fully understand difference between categorical and ordinal data when doing regression analysis. For now, what is clear: Categorical feature and data example: Color: red, white, black ...
3votes
1answer
221views
Steps in exploratory methods for mild-sized data with mixed categorical and numerical values?
Experienced in signal/image analysis, and new to data science, I recently was challenged with a relatively simple dataset: 100 to 200 items, about 10-20 numerical variables (in the [0-1] or percentage ...
- 1,537
