Please use the following scenario and R to answer the application questions. We assume all the assumptions are met. What is the difference between gender (male: 1, Female: 2), after controlling for...

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Please use the following scenario and R to answer the application questions. We assume all the assumptions are met.

What is the difference between gender (male: 1, Female: 2), after controlling for age, in terms of their smartphone usage? Perform an appropriate test and write a summary.


If we would like to use smartphone addiction and smartphone usage, to predict how often an individual uses a smartphone (Frequency: on average, how many hours do you use your phone every day), what should we do? Perform an appropriate test and write a summary.




Data V1V2V3V4V5V6V7V8V9V10V11V12GenderAgeESFrequency 3.003.003.003.004.004.004.003.002.003.004.004.001.0019.002.007.00 2.002.002.002.004.002.002.002.002.002.003.002.001.0018.002.007.00 4.004.004.004.004.004.004.004.004.004.004.004.001.0019.002.007.00 1.001.004.004.004.004.004.004.004.004.004.004.001.0020.002.007.00 1.001.001.001.001.001.001.001.002.003.003.002.001.0019.002.007.00 2.003.003.002.004.002.003.002.001.003.003.002.001.0019.002.007.00 2.002.002.003.003.002.003.003.001.003.003.003.001.0018.002.007.00 3.004.003.003.004.004.003.002.004.003.004.004.001.0019.002.006.00 4.003.003.003.004.004.003.003.003.003.003.004.001.0019.002.006.00 3.002.003.003.003.003.003.003.003.003.003.003.001.0019.002.006.00 2.003.003.003.004.001.002.002.002.002.003.003.001.0019.002.006.00 3.003.003.004.004.004.004.004.002.004.004.003.001.0019.002.006.00 2.002.003.002.004.003.003.002.002.003.003.003.001.0019.002.006.00 4.004.002.003.004.003.003.003.003.002.003.003.001.0019.002.006.00 3.004.001.001.004.001.002.001.001.003.004.004.001.0019.002.006.00 4.004.004.003.004.004.004.004.004.004.004.004.001.0020.002.006.00 3.003.003.003.003.004.004.003.003.003.003.003.001.0019.002.007.00 3.003.003.002.003.002.003.003.002.002.003.003.001.0019.002.007.00 3.003.003.003.004.003.003.003.003.003.003.003.001.0019.002.005.00 2.001.002.001.004.003.002.002.003.004.003.003.001.0019.002.005.00 3.003.003.003.003.002.003.003.003.003.003.003.001.0018.002.005.00 3.003.001.003.003.002.002.002.002.003.002.003.001.0019.002.005.00 2.002.002.002.003.003.003.002.002.002.002.003.001.0020.002.005.00 2.002.003.002.003.003.002.002.002.002.003.003.001.0020.002.005.00 3.003.003.003.004.003.003.003.003.003.004.002.001.0021.002.005.00 1.002.002.002.003.002.002.002.001.002.002.003.001.0018.002.005.00 3.003.003.003.003.003.003.003.003.003.003.004.001.0020.002.005.00 1.001.002.003.004.002.002.001.001.003.001.002.001.0019.002.005.00 3.003.003.003.004.004.004.003.003.003.003.003.001.0019.002.005.00 3.003.002.003.003.002.003.003.003.003.003.003.001.0021.002.005.00 2.003.003.002.003.003.003.003.003.003.003.003.001.0019.002.005.00 3.002.003.003.003.003.003.003.003.003.003.003.001.0019.002.005.00 3.003.003.003.003.004.003.003.002.003.003.001.001.0020.002.005.00 4.004.003.003.004.001.002.003.004.004.004.004.001.0020.002.005.00 3.002.003.003.002.002.003.003.003.002.003.003.001.0019.002.005.00 2.003.002.003.003.003.003.002.003.003.003.002.001.0019.002.005.00 2.002.003.003.002.003.003.003.002.003.002.002.001.0019.002.005.00 1.002.002.001.004.004.003.002.001.004.003.002.001.0021.002.004.00 3.003.003.003.003.003.003.003.003.003.003.003.001.0020.002.004.00 3.003.002.002.004.002.002.002.002.003.003.003.001.0020.002.004.00 3.003.003.003.003.003.003.002.002.003.002.002.001.0020.002.004.00 2.003.002.002.004.001.003.003.003.004.003.003.001.0020.002.004.00 2.002.002.002.002.003.003.002.002.003.002.003.001.0018.002.003.00 3.003.002.003.003.003.003.003.002.002.002.002.001.0019.002.004.00 2.002.002.002.003.003.003.002.002.003.003.002.001.0019.002.004.00 3.003.003.003.002.002.003.002.003.002.003.003.001.0019.002.004.00 2.001.002.002.004.003.003.001.001.002.003.002.001.0019.002.004.00 3.003.003.003.004.003.003.002.002.003.004.003.001.0018.002.004.00 3.003.003.002.003.003.003.002.003.002.003.002.001.0019.002.004.00 2.002.001.003.004.002.003.002.003.001.004.002.001.0020.002.004.00 1.001.001.001.003.003.003.001.001.002.003.002.001.0019.002.004.00 3.002.003.002.004.003.003.003.002.004.001.002.001.0018.002.004.00 2.002.002.002.002.002.002.002.002.002.002.002.001.0019.002.004.00 3.002.003.003.003.003.003.003.003.003.003.003.001.0019.002.004.00 1.003.003.003.004.003.003.003.003.003.004.004.001.0021.002.003.00 3.003.002.002.004.001.001.002.003.002.002.002.001.0018.002.004.00 2.003.002.001.004.002.001.002.001.003.003.003.001.0020.002.004.00 2.003.003.002.003.002.002.002.003.003.002.003.001.0020.002.004.00 3.002.002.003.003.003.002.003.002.003.002.004.001.0022.002.007.00 3.004.001.003.004.002.004.003.003.004.004.004.001.0020.002.004.00 3.003.003.003.004.003.003.003.002.003.002.003.001.0019.002.004.00 2.002.002.002.001.002.003.002.001.004.003.003.001.0019.002.004.00 2.002.002.004.004.001.003.003.002.003.001.003.001.0018.002.005.00 3.003.002.002.003.002.002.002.002.003.002.002.001.0019.002.004.00 2.002.002.003.004.004.004.004.002.002.003.003.001.0020.002.004.00 3.003.002.003.003.002.001.003.002.003.003.002.001.0020.002.003.00 4.004.004.004.004.004.004.004.003.004.004.003.001.0020.002.003.00 2.002.002.002.002.002.002.002.002.003.002.002.001.0018.002.003.00 1.002.002.001.004.002.002.002.001.002.003.003.001.0019.002.003.00 2.001.002.003.003.003.003.003.002.003.003.003.001.0019.002.003.00 3.003.003.003.002.002.002.002.003.003.003.003.001.0019.002.007.00 2.002.002.002.003.002.002.002.002.003.003.002.001.0020.002.003.00 3.003.004.003.003.002.003.003.001.001.001.002.001.0019.002.003.00 4.004.003.003.004.003.003.003.004.003.003.003.001.0019.002.007.00 3.002.003.003.003.004.003.003.002.003.003.002.001.0018.002.003.00 3.002.003.003.003.003.003.003.002.003.003.003.001.0019.002.003.00 3.003.003.003.003.003.002.003.003.003.003.003.001.0021.002.003.00 3.003.002.002.002.003.003.002.003.002.003.003.001.0019.002.003.00 3.002.003.003.002.004.004.003.002.004.002.001.001.0018.002.003.00 3.003.003.003.003.003.003.002.002.003.003.003.001.0018.002.003.00 2.002.002.001.003.003.003.002.002.003.003.002.001.0019.002.003.00 2.003.002.002.003.003.002.002.002.003.002.003.001.0019.002.003.00 2.003.003.002.003.003.003.002.003.002.003.003.001.0020.002.003.00 2.002.002.001.002.003.003.001.002.002.002.002.001.0021.002.003.00 1.001.002.002.002.003.003.002.001.003.002.003.001.0021.002.003.00 2.002.002.003.003.003.003.003.002.002.003.002.001.0022.002.003.00 3.003.004.003.004.003.004.003.004.004.004.004.001.0021.002.003.00 3.003.003.003.004.004.003.003.003.004.003.003.001.0023.002.003.00 3.002.002.002.002.002.003.002.002.003.002.002.001.0023.002.003.00 2.003.002.002.002.003.003.002.002.002.002.003.001.0022.002.003.00 3.002.003.003.004.003.003.003.003.004.003.002.001.0019.002.003.00 2.002.002.002.004.003.003.002.003.003.003.003.001.0019.002.003.00 2.002.003.002.004.003.003.002.002.002.003.003.001.0019.002.003.00 2.002.003.003.004.003.003.003.002.003.003.002.001.0019.002.003.00 1.003.003.002.003.002.002.002.001.002.003.002.001.0019.002.003.00 3.002.002.002.002.003.003.003.002.003.003.003.001.0020.002.003.00 3.003.002.003.003.003.003.002.002.003.002.003.001.0020.002.003.00 3.003.002.003.003.002.003.003.002.003.003.003.001.0019.002.003.00 2.001.002.002.004.004.004.002.002.002.004.004.001.0020.002.007.00 3.003.003.002.004.003.003.003.003.003.004.003.001.0020.002.003.00 3.004.003.003.003.003.003.002.003.003.003.003.002.0018.002.007.00 2.003.002.002.003.003.002.002.002.003.003.003.002.0019.002.007.00 2.002.002.001.001.001.002.001.003.002.001.002.002.0020.002.006.00 2.003.002.003.003.003.003.003.002.003.003.003.002.0019.002.006.00 1.003.002.003.004.003.003.003.003.003.004.002.002.0018.002.006.00 2.004.003.004.003.004.003.003.003.002.003.004.002.0019.002.005.00 2.002.002.002.003.003.003.002.002.002.002.003.002.0018.002.005.00 2.004.001.001.004.001.001.003.001.003.003.004.002.0019.002.005.00 3.003.003.003.004.004.004.003.003.004.004.003.002.0020.002.005.00 2.004.003.003.004.003.004.004.003.003.004.004.002.0026.002.005.00 3.003.003.003.004.003.003.004.002.003.003.002.002.0020.002.005.00 3.002.002.002.003.003.002.002.003.003.003.002.002.0018.002.005.00 4.003.004.004.004.004.003.003.003.004.003.003.002.0019.002.006.00 3.003.003.003.003.003.003.003.003.003.003.002.002.0019.002.005.00 2.001.002.003.003.002.002.002.001.002.003.002.002.0019.002.005.00 3.003.004.003.003.003.002.002.002.004.003.003.002.0019.002.005.00 2.002.001.002.003.001.002.002.002.003.002.002.002.0019.002.005.00 2.001.002.001.002.001.001.002.003
applicationquestion-5esz1b5o.xlsx
Answered Same DayAug 16, 2021

Answer To: Please use the following scenario and R to answer the application questions. We assume all the...

Saravana answered on Aug 16 2021
131 Votes
rm(list = ls())
## Read data from xlsx file
library("readxl")
# read xlsx files
setwd("/media/priyan/files/GreyNodes/Assignment37")
dat <- read_excel("applicationquestion-5esz1b5o.xlsx")
# declare gender as an factor with two levels
dat$Gender <- as.factor(as.character(dat$Gender))
dat$ES <-...
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