I am looking for help to understand and summarize the regression data from our group's project on if Overtime hours plays a part on Nurses burnout as it relates to the pandemic.

Regression Analysis: Total Productive Hours versus Patients in Unit Regression Equation Total Productive Hours = -112 + 39.0 Patients in Unit Coefficients Term Coef SE Coef T-Value P-Value VIF Constant -112 242 -0.46 0.645 Patients in Unit 39.0 27.2 1.43 0.153 1.00 Model Summary S R-sq R-sq(adj) R-sq(pred) 980.484 0.72% 0.37% 0.00% Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Regression 1975297 1975297 2.05 0.153 Patients in Unit 1 1975297 1975297 2.05 0.153 Error 285 273984185 961348 Lack-of-Fit 26 6584546 253252 0.25 1.000 Pure Error 259 267399638 1032431 Total 275959482 Fits and Diagnostics for Unusual Observations Total Productive Obs Hours Fit Resid Std Resid 135 5 129 0.13 X 31 16802 318 16484 16.88 R A Large residual X Unusual XRegression Analysis: Overtime Hours versus Patients in Unit Method Rows unused 217 Regression Equation Overtime Hours = -4.37 + 1.431 Patients in Unit Coefficients Term Coef SE Coef T-Value P-Value VIF Constant -4.37 3.62 -1.21 0.231 Patients in Unit 1.431 0.379 3.77 0.000 1.00 Model Summary S R-sq R-sq(adj) R-sq(pred) 6.80615 17.30% 16.08% 11.91% Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Regression 658.8 658.82 14.22 0.000 Patients in Unit 1 658.8 658.82 14.22 0.000 Error 58 3150.0 46.32 Lack-of-Fit 12 829.8 69.15 1.67 0.099 Pure Error 56 2320.2 41.43 Total 69 3808.8 Fits and Diagnostics for Unusual Observations Overtime Obs Hours Fit Resid Std Resid 7 5.85 -0.08 5.93 0.94 X 91 28.60 11.37 17.23 2.56 R 117 34.35 12.80 21.55 3.23 R 153 2.15 1.36 0.79 0.12 X 154 5.90 1.36 4.54 0.70 X 208 34.20 12.80 21.40 3.20 R R Large residual X Unusual X