Consider the context of a study on making paper airplanes where two different De
ID: 3201989 • Letter: C
Question
Consider the context of a study on making paper airplanes where two different Designs (say delta versus t wing), two different Papers (say construction versus typing) and two different Loading Conditions (with a paper clip versus without a paper clip) are of interest with regard to their impact on flight distance. Describe some variables that you would want to control in such a study. What are the response and experimental variables that would be appropriate in this context? Name a potential concomitant variable here.Explanation / Answer
The concomitant potential variables:
Since this study is to figure out the best possible combination of manufacturing options for Paper airplanes.
The experiment variables are:
1) Type of design used (categorical/binary in nature)
2) Type of paper used (categorical/binary in nature)
3) Type of loading condition used (categorical/binary in nature)
4) Cost & resources associated in these methods (quantitative continuous variable)
Based on variations on these variables the following response variable will vary:
1) Flight distance (quantitative continuous variable)
2) Durability in days (quantitative continuous variable)
3) Liking rating by customers (quantitative discrete variable)
Now we can perform ANOVA & multiple linear regression to assess the impact of inputs on response.