Correlation and plotting
You have been asked to identify whether the amount of time individuals spend searching the given site each day, TimeSearching
corresponds to the amount of time they spend on the Internet each day Time
, ignoring groups. Assess the linearity and normality assumptions to determine and run the appropriate correlation, and the power analysis, for the data set you've been given.
The webdata
dataset and necessary pwr
, and ggplot2
packages have been loaded for you.
This exercise is part of the course
A/B Testing in R
Exercise instructions
- Create a scatter plot of the variables, plotting the
TimeSearching
onx
andTime
ony
. - Assess the normality assumption of
TimeSearching
andTime
. - Run the appropriate correlation using the
TimeSearching
asx
andTime
asy
of thewebdata
dataset, storing toRcor
, to determine if the null can be rejected. - Run a power analysis on the correlation, calling available values from
Rcor
to determine if the correlation test is reliable; the sample size of the dataset is100
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a scatter plot relevant to the analyses
ggplot(___, aes(x = ___, y = ___)) +
___
# Assess the normality assumption
___
___
# Run the appropriate correlation
Rcor <- cor.test(___)
# Run a power analysis on the correlation
pwr.r.test(___)