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?