I am working on a data analysis I ran a regression. Can you help me interpret the results? What do you need from the data it output in excel

To help you interpret the results of your regression analysis, I'll need the following key pieces of information from your output:

1. **Regression Coefficients (Beta coefficients)**: These show the relationship between each independent variable and the dependent variable.

2. **Standard Errors**: These measure the accuracy of the coefficients by indicating the variability of the coefficient estimates.

3. **t-Statistics and p-Values**: These help to determine whether each coefficient is statistically significant.

4. **R-squared and Adjusted R-squared**: These statistics show how well the independent variables explain the variability in the dependent variable.

5. **F-Statistic and its p-Value**: This tests the overall significance of the regression model.

6. **Confidence Intervals for the Coefficients**: These provide a range of values within which the true coefficient is likely to fall.

7. **Residuals Analysis**: This includes information on how the residuals (errors) are distributed, which can indicate if there are issues with the model assumptions.

8. **Assumptions Checks**: Information like multicollinearity (VIFs), heteroscedasticity tests (e.g., Breusch-Pagan), and normality tests of residuals.

You can upload the Excel file or share the relevant tables/data, and I can walk you through interpreting these results.

Do you have any of these details available, or would you like help finding them in your output?

Learn how to interpret regression analysis results step-by-step. Understand regression coefficients, standard errors, t-statistics, p-values, R-squared, F-statistic, confidence intervals, residuals analysis, and assumptions checks. Perfect for professionals needing to analyze data outputs.

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