R is a programming language possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithm, linear regression, time series, statistical inference to name a few. Most of the R libraries are written in R,but many large companies also use R programming language, including Uber, Google, Airbnb, Facebook and so on

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Showing posts with label classical linear regression. Show all posts
Showing posts with label classical linear regression. Show all posts

Tuesday, August 20, 2019

Why do we do regression

What is regression?

linear regression,mathematics,online education,supervised machine learning,data analysis,residuals,analysis,the power of mathematical thinking,probability,simple linear regression in r,coefficient of determination,linear algebra,algebra,calculus,marin stats,marin stats r,rstudio,r studio,r programming,r statistics,r language

Regression helps to solve the problem of complete uncertainty and decision making and guided planning.

How do we solve the linear regression model(CLRM)?

The linear regression model is a way of examining the nature and form of the relationship between two or more variables. Also, we want to know which variable is affecting the other.
From -R
install.packages("lmPerm")
set.seed(1234)
> states <- as.data.frame(state.x77)
fit <- lmp(weight~height, data=women, perm="Prob")
summary(fit)
Call:
lmp(formula = weight ~ height, data = women, perm = "Prob")

Residuals:
    Min      1Q  Median      3Q     Max 
-1.7333 -1.1333 -0.3833  0.7417  3.1167 

Coefficients:
       Estimate Iter Pr(Prob)    
height     3.45 5000   <2e-16 ***
---
Signif. codes:  
  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’
  0.1 ‘ ’ 1

Residual standard error: 1.525 on 13 degrees of freedom
Multiple R-Squared: 0.991, Adjusted R-squared: 0.9903 
F-statistic:  1433 on 1 and 13 DF,  p-value: 1.091e-14 

> plot(fit)
Hit <Return> to see next plot:
linear regression,mathematics,online education,supervised machine learning,data analysis,residuals,analysis,the power of mathematical thinking,probability,simple linear regression in r,coefficient of determination,linear algebra,algebra,calculus,marin stats,marin stats r,rstudio,r studio,r programming,r statistics,r language
Hit <Return> to see next plot:
linear regression,mathematics,online education,supervised machine learning,data analysis,residuals,analysis,the power of mathematical thinking,probability,simple linear regression in r,coefficient of determination,linear algebra,algebra,calculus,marin stats,marin stats r,rstudio,r studio,r programming,r statistics,r language
Hit <Return> to see next plot: 
https://www.r-languagestatistics.co
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https://www.r-languagestatistics.co




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