RStudio Basics | Test of Relationship

In this video, I will be demonstrating how to perform test of relationship using Pearson Correlation Coefficient, Spearman Rank Correlation Coefficient, and Kendall-Tau Coefficient in RStudio. These coefficients measure the relationship between two variables and allow us to test whether the observed relationship is statistically significant. These are useful in correlational design research wherein we want to test if two variables are correlated with each other.
The code that produces the scatter plot shown at 12:00 min mark of the video contains an error. The xlab and ylab argument should be interchanged. The correct code should be:
plot(faithful$eruptions, faithful$waiting, xlab="duration of the eruptions (in mins)", ylab="time between eruptions (in mins)", main="Scatter Plot of the Faithful Dataset")
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[@raffycee6403]

The code that produces the scatter plot shown at 12:00 min mark of the video contains an error. The xlab and ylab argument should be interchanged. The correct code should be:
plot(faithful$eruptions, faithful$waiting, xlab="duration of the eruptions (in mins)", ylab="time between eruptions (in mins)", main="Scatter Plot of the Faithful Dataset")

[@abdimahadabtidoon5441]

Hi there. I liket how you are explaining. how can i contact you? Thanks