Intercept Phones Coefficients $1,473,119 $738 Standard Error $356,978 $147 t Stat 4.13 5.03 P-value 0.01 0.00 Lower 95% $599,625 $379 Upper 95% $2,346,614 $1,097 0.90 0.81 Regression Statistics Multiple R R R Square Adjusted R Square Standard Error Observations 0.78 $87.127 8 Evaluate the estimate for total fixed costs. . The estimate for total fixed costs is not precise for the following reasons: 1. The t-Stat of 4.13 is more than the preferred statistical significance, which traditionally targets a t-Stat of 2 or lower 2. The P-value of 0.01 is less than the preferred statistical significance, which traditionally targets a P-value of 0.10 or greater. The estimate for total fixed costs is acceptably precise for the following reasons: 1. The t-Stat of 4.13 is more than the preferred statistical significance, which traditionally targets at Stat of 2 or greater. 2. The P-value of 0.01 is less than the preferred statistical significance, which traditionally targets a P-value of 0.10 or lower. The estimate for total fixed costs is not precise for the following reasons: 1. The Adjusted R Square of 0.78 is less than the RSquare of 0.81. Preferred statistical significance traditionally targets a R Square higher than the Adjusted R Square. 2. The standard error for total fixed costs of $356,978 is greater than the standard error for the total cost equation of $87,127. Preferred statistical significance traditionally targets a standard error for fixed costs less than the standard error of the total cost equation. The estimate for total fixed costs is acceptably precise for the following reasons: 1. The Adjusted R Square of 0.78 is less than the RSquare of 0.81. Preferred statistical significance traditionally targets a R Square lower than the Adjusted R Square. 2. The standard error for total fixed costs of $356,978 is greater than the standard error for the total cost equation of $87,127. Preferred statistical significance traditionally targets a standard error for fixed costs greater than the standard error of the total cost equation. Intercept Phones Coefficients $1,473,119 $738 Standard Error $356,978 $147 t Stat 4.13 5.03 P-value 0.01 0.00 Lower 95% $599,625 $379 Upper 95% $2,346,614 $1,097 0.90 0.81 Regression Statistics Multiple R R R Square Adjusted R Square Standard Error Observations 0.78 $87.127 8 Evaluate the estimate for total fixed costs. . The estimate for total fixed costs is not precise for the following reasons: 1. The t-Stat of 4.13 is more than the preferred statistical significance, which traditionally targets a t-Stat of 2 or lower 2. The P-value of 0.01 is less than the preferred statistical significance, which traditionally targets a P-value of 0.10 or greater. The estimate for total fixed costs is acceptably precise for the following reasons: 1. The t-Stat of 4.13 is more than the preferred statistical significance, which traditionally targets at Stat of 2 or greater. 2. The P-value of 0.01 is less than the preferred statistical significance, which traditionally targets a P-value of 0.10 or lower. The estimate for total fixed costs is not precise for the following reasons: 1. The Adjusted R Square of 0.78 is less than the RSquare of 0.81. Preferred statistical significance traditionally targets a R Square higher than the Adjusted R Square. 2. The standard error for total fixed costs of $356,978 is greater than the standard error for the total cost equation of $87,127. Preferred statistical significance traditionally targets a standard error for fixed costs less than the standard error of the total cost equation. The estimate for total fixed costs is acceptably precise for the following reasons: 1. The Adjusted R Square of 0.78 is less than the RSquare of 0.81. Preferred statistical significance traditionally targets a R Square lower than the Adjusted R Square. 2. The standard error for total fixed costs of $356,978 is greater than the standard error for the total cost equation of $87,127. Preferred statistical significance traditionally targets a standard error for fixed costs greater than the standard error of the total cost equation