Additionally, based on our own knowledge of egg usage we know that eggs are a common theme in Easter
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Additionally, based on our own knowledge of egg usage we know that eggs are a common theme in Easter

Step 2 (B):

Additionally, based on our own knowledge of egg usage we know that eggs are a common theme in Easter (paintings eggs and Easter egg hunts). Is this the case based on what information we have from the last two years? Common sense says if there are outliers that occur around Easter we can make a prediction that starts with a price effect on sales which do not occur at Easter, and then, if our Monday eggs order is around Easter, make an adjustment to that prediction. Create a helpful data visualization that explores Week versus Cases to see if there is an effect around Easter.
Question 8: (1) Create a helpful data visualization that explores Week versus Cases to see if there is an effect around Easter (paste plot in appendix).  (2) Based on the visualization you created, does there appear to be an effect around Easter?

Answer for (2):

 

 


Hints

fit2 <- lm(Cases~Week, data=data1)

with(data1,plot(Week, Cases, xlab="Week", ylab="Cases", main="Scatter Plot"))

abline(fit2)

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