Difference between revisions of "Worksheets/Week3"
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Kevin Dunn (talk | contribs) (→Part 2) |
Kevin Dunn (talk | contribs) (→Part 3) |
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interaction.plot(S, P, y) | interaction.plot(S, P, y) | ||
interaction.plot(P, S, y) | interaction.plot(P, S, y) | ||
</code> | |||
</div></html> | |||
=== Part 4 === | |||
Continuing with the case above: | |||
<html><div data-datacamp-exercise data-lang="r" data-height="500px"> | |||
<code data-type="sample-code"> | |||
# S = Free shipping if order amount is €30 or more [-1], | |||
# of if order amount is over €50 [+1] | |||
S <- c(-1, +1, -1, +1, -1, +1, -1, +2) | |||
# Does the purchaser need to create a profile first [+1] or not [-1]? | |||
P <- c(-1, -1, +1, +1, -1, -1, +1, +1) | |||
# Response: daily sales amount | |||
y <- c(348, 359, 327, 243, 356, 363, 296, 220) | |||
# Linear model using S, P and S*P to predict the response | |||
mod.sales.mistake <- lm(y ~ S*P) | |||
summary(mod.sales.mistake) | |||
# Uncomment this line if you run the code in RStudio | |||
#library(pid) | |||
# Comment this line if you run this code in RStudio | |||
source('https://yint.org/contourPlot.R') | |||
contourPlot(mod.sales.mistake) | |||
</code> | </code> | ||
</div></html> | </div></html> | ||
Revision as of 16:23, 10 March 2019
Part 1
A factorial experiment was run to investigate the settings that minimize the production of an unwanted side product. The two factors being investigated are called A and B for simplicity.
Part 2
Continuing from above, with 2 extra experimental points:
Part 3
Your family runs a small business selling products online. The first factor of interest is whether to provide free shipping over €30 or over €50. The second factor is whether or not the purchaser must first create a profile before completing the transaction. The purchaser can still complete their transaction without creating a profile. Below are the data collected, showing the 8 experiments.
Part 4
Continuing with the case above: