lm3: Simple Linear Regression (Cloze with Theory, Application, Essay, and File Upload)

Exercise template with both theory and applied questions, as well as interpretation and code upload, about simple linear regression based on a randomly-generated CSV file.

Name:
lm3
Type:
cloze
Related:
lm, lm2, gaussmarkov
Description:
Cloze with theory and applied questions about linear regression. The theory part uses knowledge questions in "string" and "mchoice" format. The applied part is based on bivariate numeric data for download in a CSV file (comma-separated values) and uses two "num" and one "schoice" item. Additionally, for interpretation, there is an open-ended "essay" element and a "file" upload for the R script used by the participants. This type of extended cloze question is currently supported in QTI 2.1 (OpenOlat in particular).
Solution feedback:
Yes
Randomization:
Random numbers, data file, and graphics
Mathematical notation:
No
Verbatim R input/output:
Yes
Images:
Yes
Other supplements:
linreg.csv
Template:
lm3.Rmd
lm3.Rnw
Raw: (1 random version)
lm3.md
lm3.tex
PDF:
lm3-Rmd-pdf
lm3-Rnw-pdf
HTML:
lm3-Rmd-html
lm3-Rnw-html

Demo code:

library("exams")

set.seed(403)
exams2html("lm3.Rmd")
set.seed(403)
exams2pdf("lm3.Rmd")

set.seed(403)
exams2html("lm3.Rnw")
set.seed(403)
exams2pdf("lm3.Rnw")

TEMPLATES
cloze regression significance slope statistics