Difference between revisions of "Worksheets/Week4"
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Kevin Dunn (talk | contribs) (→Part 3) |
Kevin Dunn (talk | contribs) (→Part 3) |
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| Line 106: | Line 106: | ||
#contourPlot(model.stability, 'A', 'B') | #contourPlot(model.stability, 'A', 'B') | ||
#contourPlot(model.stability, 'A', 'C') | #contourPlot(model.stability, 'A', 'C') | ||
# Make a prediction with this model: | |||
xA = 0 | |||
xB = 0 | |||
xC = 0 | |||
y.hat <- predict(model.stability, data.frame(A = xA, B = xB, C = xC)) | |||
paste0('Predicted stability is: ', y.hat, ' days.') | |||
</code> | </code> | ||
</div></html> | </div></html> | ||
Revision as of 09:20, 18 March 2019
Part 1
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 2
Continuing with the case above:
Part 3
Your group is developing a new product, but have been struggling to get the product’s stability, measured in days, to the level required. You are aiming for a stability value of 50 days or more.