Day-2 The Regression way

 The Day started with building concept to go for regression analysis. The platform is set with problems using matrix ,selecting columns and rows, multiplying of matrices and  finally regression and distribution.

Assignment-1

Assignment 1:

Create 2 matrices of 3*3 and select 1 column in matrix 1 and matrix 2 merge them into another matrix using cbind command.

command:

z1<-c(1:9)

dim(z1)<-c(3,3)

z2<-c(10:18)

dim(z2)<-c(3,3)

x<-z1[,3]

y<-z2[,1]

z3<-cbind(x,y)

z3

 

Assignment 2:

multiply matrix 1 and matrix 2

z1%*%z2

Assignment 3:

Read historical data of indices from NSE site from Dec 1 2012 to Dec 31 2012. Find Regression and Residuals.

 To read NSE file 

nse<-read.csv(file.choose(),header=T)

reg<-lm(high~open,data=nse)

To find residuals

residuals(reg)

Assignment 4:

Generate a Normal distribution data and plot it.

x=seq(70,130,length=200)

y=dnorm(x,mean=100,sd=10)

plot(x,y)