simple_linear_regression#

  • Series: lecture-python-intro

  • File: lectures/simple_linear_regression.md

  • Audit date: 2026-05-28

  • Categories audited: writing, math, code, figures, references, links, admonitions (JAX out of scope)

  • Overall score: 7.1 / 10

  • Priority: LOW

Score breakdown#

Category

Score

One-line note

Writing

6/10

Lecture has only 2 H2 sections; lacks an Overview/structure; many random sentences ending without period; capitalization issues in prose.

Math

7/10

Equations basic; no clear M violations; minor style.

Code

8/10

Unicode Greek (α, β) used (qe-code-002 OK); standard Anaconda imports.

JAX

out of scope

—

Figures

8/10

No figsize=/ax.set_title/spine violations.

References

N/A

no {cite} citations

Links

N/A

no cross-series links

Admonitions

N/A

no exercises / solutions

Issues#

Critical#

None found.

High severity#

None found.

Medium severity#

  • W1 — Many short paragraphs lack period termination (“Let’s start with \(\alpha = 5\) and \(\beta = 10\)” line 83, “Let’s first look at the Life Expectancy Data” line 463, “Which country does report this data?” 472, etc.). Many sentences in the body lack punctuation, indicating a draft-quality lecture.

  • W7 — Random Title Case mid-sentence: “Life Expectancy Data” (line 463), “Year 1543” (470), “Get Data from DataFrame” (530), “Sums” (542), “GDP per Capita” (511).

Low severity#

  • W3 — “## How does error change with respect to \(\alpha\) and \(\beta\)” lacks final question mark/period (line 191).

  • W4/W5 — Quoted “best” (line 30, 77, 106) used inconsistently; better to use italic for emphasis.

Strengths#

  • H1 in Title Case (W2 OK).

  • Simple, clear walkthrough.

  • Unicode Greek in code (qe-code-002 OK).

  • No matplotlib title/figsize/spine violations.