It's easy to run a regression in Excel. The output contains a ton of information but you only need to understand a few key data points to make sense of your regression. You need the Analysis ...

The output will include various statistics, including the coefficients for your regression equation (intercept and slope), the standard errors of these coefficients, and the R-squared value. Multiple ...

Results: The model explains 98.87% of the variance in the Performance Index, indicating a strong predictive capability. This project demonstrates the effectiveness of multiple linear regression in ...