Question

In: Statistics and Probability

using the mtcars data set data(mtcars) USE data in mtcars library in R 5.Use k means...

using the mtcars data set
data(mtcars)

USE data in mtcars library in R

5.Use k means cluster analysis. 6. Get cluster means. 7. Visualize the clustering result.

Solutions

Expert Solution

Needed R code given below


Related Solutions

##1a) *Using the wt column within the mtcars data set, test the hypothesis that the mean...
##1a) *Using the wt column within the mtcars data set, test the hypothesis that the mean weight is different from 3.00. Use an alpha level of .01* ```{r} ``` ##b *Comparing different precise recipies for chocolate cake, a study was conducted to examine the weight in grams of flour in each recipe. A well known scientific cookbook claims that the true mean number of grams of flour to put in chocolate cake is 250 grams. A sample of 8 cake...
Examine classification using logistic regression. In R console, type mtcars. The dataset mtcars is a generic...
Examine classification using logistic regression. In R console, type mtcars. The dataset mtcars is a generic dataset in R. This dataset comprises of fuel consumption and 10 aspects of automobile design and performance for 32 automobiles. Using only the variables am (0 = automatic, 1 = manual) and mpg, your task is to fit a logistic regression model. Complete the following steps using R. Create a scatter plot of am vs. mpg. Describe the relationship and explain why a simple...
In R, Use library(MASS) to access the data sets for this test. Use the Pima.tr data...
In R, Use library(MASS) to access the data sets for this test. Use the Pima.tr data set to answer questions 1-5. What is the average age for women in this data set? What is the maximum number of pregnancies for women in this data set ? What is the median age for women who have diabetes? What is the median age for women who do not have diabetes? What is the third quartile of the skin variable?
The data set ”airquality” in the R datasets library has data on ozone concentration, wind speed,...
The data set ”airquality” in the R datasets library has data on ozone concentration, wind speed, temperature, and solar radiation by month and day for May through September in New York. Attach airquality to your workspace and then construct side-by-side boxplots of Wind by Month. Month is a numeric variable in the airquality data frame. You can treat it as a factor by using the ”as.factor” function, e.g., > plot(Wind ∼ as.factor(Month)) Next, do an analysis of variance to determine...
In R: Consider dataset “juul” from library “ISwR”. (juul is a built in data set) Are...
In R: Consider dataset “juul” from library “ISwR”. (juul is a built in data set) Are the means of igf1 equal among tanner groups at 5% level? Please use the six step process to test statistical hypotheses for this research problem. Note: You need to convert tanner from numeric to factor type and ignore all the NAs.
install.packages("mosaic") library(mosaic) Data=(RailTrail) RailTrail above is the data set it can be found in R (a)...
install.packages("mosaic") library(mosaic) Data=(RailTrail) RailTrail above is the data set it can be found in R (a) Perform multivariate regression model that can predict the variable volume based on the variables hightemp, lowtemp, cloudcover, precip,. Interpret and discuss all the necessary statics from the output. (b) Test whether cloudcover can be dropped from the regression model given that precipitation, hightemp, and lowtemp are retained. Use the F statistic and level of significance 0.01. State the hypotheses, p-value, and conclusion in terms...
Please use R to do it. Using the SATGPA data set in Stat2Data package. Test by...
Please use R to do it. Using the SATGPA data set in Stat2Data package. Test by using α= .05 Question: Test if the proportion of MathSAT greater than VerbalSAT is 0.60 > library(Stat2Data) > data("SATGPA") > data(SATGPA) > SATGPA
R has many build-in dataset. The data mtcars is one of them. The following R code...
R has many build-in dataset. The data mtcars is one of them. The following R code read-in data and save the data to input.                   input <- mtcars[,c("am","cyl","hp","wt")]              Write a few line of R code to conduct a regression analysis with am as the response variable, and              cyl, hp, wt as explanation variables.
1) Show that if A is an open set in R and k ∈ R \...
1) Show that if A is an open set in R and k ∈ R \ {0}, then the set kA = {ka | a ∈ A} is open.
R has a number of datasets built in. One such dataset is called mtcars. This data...
R has a number of datasets built in. One such dataset is called mtcars. This data set contains fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973-74 models) as reported in a 1974 issue of Motor Trend Magazine. We do not have to read in these built-in datasets. We can just attach the variables by using the code attach(mtcars) We can just type in mtcars and see the entire dataset. We can see the variable...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT