Linear Regression Analysis Insights
Budget: $10 – $30 USD
I need a statistician to run a straightforward linear regression on my dataset so I can clearly understand the relationships between my key predictors and the outcome variable. Please:
• Inspect the data for obvious issues, handle any simple cleaning steps, and document what you changed.
• Build a well-specified linear regression model that addresses multicollinearity and basic model assumptions (linearity, homoscedasticity, normality of residuals).
• Provide the code or spreadsheet formulas you use—SPSS is preferred—as long as the workflow is reproducible.
• Summarize the results in plain English, highlighting coefficient size, direction, significance, and any surprising insights.
• Deliver a concise report (one-page summary or annotated notebook) plus the annotated script and the final cleaned dataset.
This is a focused, low-complexity task aimed purely at understanding variable relationships rather than forecasting, so please keep the work lean and clear.
• Inspect the data for obvious issues, handle any simple cleaning steps, and document what you changed.
• Build a well-specified linear regression model that addresses multicollinearity and basic model assumptions (linearity, homoscedasticity, normality of residuals).
• Provide the code or spreadsheet formulas you use—SPSS is preferred—as long as the workflow is reproducible.
• Summarize the results in plain English, highlighting coefficient size, direction, significance, and any surprising insights.
• Deliver a concise report (one-page summary or annotated notebook) plus the annotated script and the final cleaned dataset.
This is a focused, low-complexity task aimed purely at understanding variable relationships rather than forecasting, so please keep the work lean and clear.