For each of the question, paste visualization plots when necessary. Paste the R code at the end of the paper. Discuss the statistics in your own words when asked 1) Compute a new variable by adding magazine, newspaper, outdoor, broadcast and print advertising expenditure, and name it TotalAds. 2) Conduct a correlation plot with all the variables. Submit your visualization plots, and describe the relationships among the variables as you learn from the plot Helping R code #See column names of the file. colnames(data) #Compute new data columns data<-data %>% mutate(TotalAds = Mag + News+Outdoor+Broad+Print) #Please use the previous codes from week 1 to do data exploration and visualization. #Create and visualize Correlation plot library(corrplot) M = cor(data) corrplot(M, method = 'number') options(scipen=999) #Create regression equation model <- lm(y ~ x1 + x2 + x3 + x4 + x5, data = data) summary(model)
For each of the question, paste visualization plots when necessary. Paste the R code at the end of the paper. Discuss the statistics in your own words when asked 1) Compute a new variable by adding magazine, newspaper, outdoor, broadcast and print advertising expenditure, and name it TotalAds. 2) Conduct a correlation plot with all the variables. Submit your visualization plots, and describe the relationships among the variables as you learn from the plot Helping R code #See column names of the file. colnames(data) #Compute new data columns data<-data %>% mutate(TotalAds = Mag + News+Outdoor+Broad+Print) #Please use the previous codes from week 1 to do data exploration and visualization. #Create and visualize Correlation plot library(corrplot) M = cor(data) corrplot(M, method = 'number') options(scipen=999) #Create regression equation model <- lm(y ~ x1 + x2 + x3 + x4 + x5, data = data) summary(model)
Chapter6: Managing Multiple Worksheets And Workbooks
Section: Chapter Questions
Problem 15RA
Related questions
Question
-
- For each of the question, paste visualization plots when necessary. Paste the R code at the end of the
paper. Discuss the statistics in your own words when asked
expenditure, and name it TotalAds. - For each of the question, paste visualization plots when necessary. Paste the R code at the end of the
- 2) Conduct a correlation plot with all the variables. Submit your visualization plots, and describe the
relationships among the variables as you learn from the plot - Helping R code
#See column names of the file.
colnames(data)
#Compute new data columns
data<-data %>%
mutate(TotalAds = Mag + News+Outdoor+Broad+Print)
#Please use the previous codes from week 1 to do data exploration and visualization.
#Create and visualize Correlation plot
library(corrplot)
M = cor(data)
corrplot(M, method = 'number')
options(scipen=999)
#Create regression equation
model <- lm(y ~ x1 + x2 + x3 + x4 + x5, data = data)
summary(model)
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