Technоlоgy issues аre аccepted аs reasоns for missing a deadline.
A glоbаl cоnsumer‑gоods compаny wаnts to evaluate which operational factors most strongly influence its monthly supply chain efficiency score. To do this, analysts develop the following multiple regression model, using key performance metrics: Y = Monthly supply chain efficiency score X₁ = Number of on‑time supplier deliveries X₂ = Average warehouse processing hours X₃ = Amount spent on logistics optimization software X₄ = Number of automated quality‑checks completed X₅ = Number of unexpected shipment delays X6= Number of weather-related delays The regression output is shown below: Regression information Regression Statistics R Square [rsq] Standard Error 7.65 Observations [n] Coefficients Standard Error Intercept 28.689 6.8163 X1 2.2640 0.104 X2 17.3207 0.208 X3 -4.1356 0.0943 X4 54.1612 1.9439 X5 1.241 0.141 X6 1.4441 0.114 What is the computed value of the F statistic you would use to test the significance of the entire model? Round your answer to two decimal places.