I am confused about how to solve (b) (c) (d)
I am confused about how to solve (b) (c) (d) (4) (Interpolating polynomials) Say we want...
!! I need only (d) (e) (g)! !!! In this project, we want to estimate the value of it through random sampling. First, consider the unit square S = {(x, y)0 SX S1, 0 Sy s 1} and the circle C = {(x, y)/(x-1/2)2+(y-1/2)2 5 1/4} which resides inside the unit square. Suppose that we sample n points from the unit square S, uniformly and independently. Let Xi be 1 if the ith sample falls into the circle C and...
Solve d,e and f please using R code Part I: qqplots This part deals with qqplots of all kinds. Let's do some easy expe riments, first. Let's take a sample from a normal distribution with mu-2, sigma 3, and then look at the hist and the qqplot of that data: set.seed(3) n 100 # Sample size x norm(n,2,3) # Sample from N(mu-2, sigma-3) hist(x) # Looks normal. But that depends on breaks. qqnorm(x) # This doesn't depend on binsize, and...
Please I want someone help me to solve this question a,b,c,d,e I’m not sure about my solution This is the data # Set directory to data folder setwd("C:data") # getwd() # Read data from csv file data <- read.csv("SweetPotatoFirmness.csv",header=TRUE, sep=",") head(data) str(data) # scatterplot of independent and dependent variables plot(data$pectin,data$firmness,xlab="Pectin, %",ylab="Firmness") par(mfrow = c(2, 2)) # Split the plotting panel into a 2 x 2 grid model <- lm(firmness ~ pectin , data=data) summary(model) plot(model) par(mfrow=c(1,1)) # Residual Plot data$residuals...