Assessing Pearson assumptions

For a Pearson correlation to be appropriate, the data must follow two assumptions: linearity and normally distributed.

A company is interested in running a Pearson correlation on the amount of time spent on a website and the amount of money spent purchasing items on the website, first assessing the correlation ignoring groups. Assess whether a Pearson correlation is appropriate given the linear and normal distribution assumptions that must be met.

The ggplot2 package and SiteSales dataset have been loaded for you.

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A/B Testing in R

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Instrucciones del ejercicio

Create a scatter plot with AmountSpent on the x-axis and TimeSearching on the y-axis to assess the linearity of the relationship.
Use shapiro.test() to determine whether AmountSpent is normally distributed.
Use shapiro.test() to determine whether TimeSearching is normally distributed.

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# Assess the assumption of linearity
ggplot(___) +
  ___

# Assess the normality of the `AmountSpent` variable
___

# Assess the normality of the `TimeSearching` variable
___

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