ISTA 116 University of Arizona Linear Regression Model Questions

apply, analyze, evaluate or create questions (you can do any combination)

multiple choice questions

have the correct answer highlighted

not be on a topic that would make your teacher cringe or have to google things she’d rather not google

Create a total of 10  Multiple choice Questions about the following topics we took in previous labs.

– Binomial probability

– Chi Square

– Correlation

– Linear regression

– Nonlinear and multiskull regression

– Logistic regression

https://drive.google.com/drive/folders/1rKbD_yb40a…

ISTA 116
2 points
1 point
1 point
1 point
1 point if you are the first
to figure out someone’s
question is wrong and
(gently) correct them
with the right answer
Up to 5 points per person.
These are too easy
to write, sorry!
Not a competition – everyone can win up to 5
points credit like this.
Must be correct, must be multiple choice, must be
about topic, post 5 questions
Remember
Understand
Apply
Analyze
Evaluate
Create
Can recall code or
statistical test, but not
apply it or understand
its application
Can explain test or code
and its use, can explain
or interpret outcome,
but can’t use it
Can use the code, run
the test, but can’t fix it
if something goes
wrong or relate it to
other things
Can draw conclusions,
relate known code to
new code or tests, but
cannot tell where
others have gone
wrong
Can critique other
people’s code or tests,
look for flaws, and
justify choosing one test
over the other
Can develop and design
statistical research or
code from scratch to
answer specific
questions
List names or code
chunks
Summarize use of code
or tests
Run experiment or test
Order and link new and
old concepts
Rank concepts
Design new research or
code
Describe or define items
Interpret results like p
values or R2
Recognize & select
items by definition
Memorize and repeat
information
Find information online
or in notes and recall it
Infer meaning from test
results
Explain & discuss known
material
Identify new examples
of vocabulary terms like
functions
Use known code on new
data sets
Calculate tests and test
statistics
Implement known code
or tests in new
scenarios
Sketch concepts
Explain new material
Differentiate
appropriate test
scenarios
Compare code or tests
for similarities and
differences
Use new code and tests
using known principles
Assess, judge, and
critique material from
others for accuracy
Hypothesize about
results from new data or
code
Justify code or test
selection
Trouble-shoot problems
in code or tests
Construct, write, and
devise questions for
others
Invent new functions or
scripts
Create new dataset to
meet certain criteria