Accounting Question

Overview

I need help with Part D and Part E Make sure to have each part 2 paraghraphs. I uploaded the data that you going to use. Do not use anyother sorces use only the file that i upload.

Part D — Outliers and Professional Judgment

Anomaly Identification: Identify at least two unusual daily reporting periods or data

anomalies in the dataset.

Sensitivity Analysis: Re-run and estimate at least one key regression model with

and without these outlier observations.

Contextualization: Explain whether these anomalies represent temporary

economic shocks, normal operating risks, or systematic model limitations.

Part E — Managerial Implications

Based on your quantitative findings, provide concrete recommendations addressing how

leadership should change its approach to:

Budgeting and forecasting (moving away from simplistic linear projections).

Pricing and product-mix optimization (leveraging size shares and flavor demand).

Capacity utilization risk (balancing operational efficiency against setup

bottlenecks).

Also, This is AI Policy make sure to follow it.

5. AI Use Policy

Students are expected and encouraged to use AI tools (e.g., ChatGPT, Excel Copilot,

Python via LLM generation) to process data, write code, or run regressions. However, AI

must be treated as a junior analyst, not a decision-maker.

Teams must include a mandatory AI Appendix detailing:

The specific AI tools and platforms utilized.

The exact prompts issued to generate code, tables, or interpretations.

Which AI-generated outputs were accepted, and which were rejected or heavily

modified.

Critical Evaluation Component: Provide at least one specific example where the

AI's output was technically or statistically correct, but managerially misleading or

incompatible with ERPSim mechanics.