Stack Overflow
Stack Overflow

Questions tagged [olsmultiplelinearregression]

29 questions
2
votes
0 answers

Wha is TSLM equivalent of R in python?

OLS in python does multiple linear regression without considering the timestamp. What is the equivalent of TSLM of R in Python, which takes timestamp into consideration.
Nitish Kumar
  • 101
  • 6
2
votes
1 answer

Visualizing multiple linear regression using R

I am trying to fit and visualize a multiple linear regression model using four variables. fit <- lm(general_data$Bacterial.Contigs ~ general_data$Soil.Temperature + general_data$Time.point + general_data$Year) Here, Time.point and Year are…
Atia Amin
  • 379
  • 1
  • 4
  • 10
1
vote
2 answers

linear regression/ols regression with python

I want to run multiple linear regression models, and there are 5 independent variables (2 of them are categorical). Thus, I first applied onehotencoder to change categorical variables into dummies. These are dependent and independent variables y =…
Jleeca
  • 29
  • 3
1
vote
1 answer

Calculating difference of two means and its confidence interval

I have data of a protein "F" in patients who used or not used a drug "X". I have 3 cofounders (age, BMI, sex) that I should adjust. I successfully calculated the means of protein amount in the drug-group and no-drug group by using the below code: >…
Angel
  • 13
  • 3
1
vote
1 answer

muliple linear regression, traing dataset graphs ,ValueError: x and y must be the same size

i am running following code, graph for training dataset is giving error, import pandas as pd import numpy as np df = pd.read_csv('11.csv') df.head() AT V AP RH PE 0 8.34 40.77 1010.84 …
homaa
  • 11
  • 1
1
vote
0 answers

Developing Leverage Statistics by Hand

I currently have the below data frame df with the regression equation regression_eq <- -0.09999975 * df$x + 1.999999 * df$y and am trying to determine the leverage points by hand. I have now reviewed many sources and am still stuck. I understand…
AW27
  • 481
  • 3
  • 15
1
vote
0 answers

Implementing Multiple variable linear regression using Polynomialfeatures(degree = 1) and simple linear regression gives 2 different results

I am trying to code a multiple linear regression problem using two different methods. One is the simple one as stated below: from sklearn.model_selection import train_test_split X = df[['geo','age','v_age']] y = df['freq'] X_train, X_test, y_train,…
Crossfit_Jesus
  • 53
  • 4
  • 18
1
vote
1 answer

how to regress unemployment on minimum wage in r

I have two different data sets, one that has the annual unemployment rate by state (listed under a single column) and the second data set has the minimum wage for each state. Both have only have data between 2003-2020. The problem is They are in…
bandcar
  • 649
  • 4
  • 11
1
vote
1 answer

Can I use numpy.polyfit(x, y, deg) for multiple linear regression

Is there any way I can fit two independent variables and one dependent variable in numpy.polyfit()? I have a panda data frame that I loaded from a csv file. I wish to include two columns as independent variables to run multiple linear regression…
jie xi lim
  • 37
  • 9
0
votes
0 answers

Multiple Linear Regression with time series data

Does anyone have a link that provides an explanation (+ if it includes an example I could learn from that would be great) on how to perform (multiple) linear regression with time series data using python please? Thanks! Any help is much…
VXP
  • 3
  • 1
0
votes
0 answers

Receiving this Error "in if (is.na(s)) { : the condition has length > 1 " on R when using Stargazer for 6 multiple regressions

I am currently doing some panel data regressions in R and I am trying to put multiple models side-by-side using stargazer When I put 5 panel data models using stargazer I receive an output reglogglobal2 <- plm(log1p(GDP_growth) ~…
Progress_regress
  • 1
  • 1
0
votes
0 answers

Dummy variables in MLR models

I'm making a multiple linear regression using only dummy variables as predictors. What potential problem am I likely be introducing into the model by only using dummy varaibles as predictors? How could it affect my results? I tried creating a sample…
LTW
  • 1
0
votes
0 answers

Missingdataerror: exog contains inf or nan while trying to fit an OLS model

Trying to fit an OLS model but not successful. 2 responses were gotten as error: missingdataerror: exog contains inf or nan olsmodel1 not defined Below is my code: olsmodel1 =sm.OLS(y_train, x_train).fit() print(olsmodel1.summary()) I have checked…
Foluso Alabi
  • 1
  • 1
0
votes
0 answers

Multiple regression Analysis with R

I am fitting a regression model in R with the data above but i want to know if the variables "year" ,"style" should be continuous or categoricalenter image description here
PalmA Ambrose
  • 1
  • 1
0
votes
1 answer

Repeated columns of a single variable when using statsmodels.formula.api package ols function in python

I am trying to perform multiple linear regression using the statsmodels.formula.api package in python and have listed the code that i have used to perform this regression below. auto_1= pd.read_csv("Auto.csv") formula = 'mpg ~ ' + " +…
dataqueries
  • 11
  • 2
1
2