Business Application Lab - Day 2
Assignment 1:Matrix Binding
z1<-c(1:9)
z1<-c(1,2,3,4,5,6,7,8,9)
dim(z1)<-c(3,3)
z2<-c(1:9)
z2<-c(32,5,15,48,10,18,1,12,23)
dim(z2)<-c(3,3)
x<-z1[,3]
y<-z2[,1]
z3<-cbind(x,y)
Assignment 2:Matrix Multiplication
Using the matrices created in the first assignment
z3<-z1%*%z2
z3
Assignment 3:Regression
nse<-read.csv(file.choose(),header=T)
open<-nse[,2]
high<-nse[,3]
reg<-lm(high~open,data=nse)
reg
residuals(reg)
Assignment 4: Normal Distribution Plot
x<-seq(-5,5,length=200)
y<-dnorm(x,mean=0,sd=1)
plot(x,y,col="red")
Assignment 1:Matrix Binding
z1<-c(1:9)
z1<-c(1,2,3,4,5,6,7,8,9)
dim(z1)<-c(3,3)
z2<-c(1:9)
z2<-c(32,5,15,48,10,18,1,12,23)
dim(z2)<-c(3,3)
x<-z1[,3]
y<-z2[,1]
z3<-cbind(x,y)
Assignment 2:Matrix Multiplication
Using the matrices created in the first assignment
z3<-z1%*%z2
z3
Assignment 3:Regression
nse<-read.csv(file.choose(),header=T)
open<-nse[,2]
high<-nse[,3]
reg<-lm(high~open,data=nse)
reg
residuals(reg)
Assignment 4: Normal Distribution Plot
x<-seq(-5,5,length=200)
y<-dnorm(x,mean=0,sd=1)
plot(x,y,col="red")




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