Answered step by step
Verified Expert Solution
Question
1 Approved Answer
{r} 803 _ #random error assumptions for complete model fits #random error assumptions for complete model fits LMC$fitted. values cooks. distance(LMC) cook par(mfrow = c(2,
{r} 803 _ #random error assumptions for complete model fits
#random error assumptions for complete model fits LMC$fitted. values cooks. distance(LMC) cook par(mfrow = c(2, 2)) plot fits, LMC$residuals, x lab "Fitted Values" , mat col " red") qqPlot(LMC$residuals, ylab"Residuals" , "QQP10t") mat histCLMC$residuals, xlab="Residuals" , mai stogram" , 1.0 "Residual Fits Plot" , ylab "Residuals") nclass=1, cot "orange") plot(cook, type="h" , lwd=3, col="red" , main="Cook's Distance" , ylab "Cook's Distance") QQPlot o 1 norm quantiles Cook's Distance x Residual Fits Plot o 00 o o o o o 5 -0.5 o o o o o 10 o 0.5 15 -2 Fitted Values Histogram 0.0 Residuals o o o 1 5 2 20 10 Index 15
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started