Newport, Inc. used Excel to run a least-squares regression analysis, which resulted in the following output: Regression Statistics Multiple R 0.7203 R Square 0.8478 Observations 30 Coefficients 35,000 5.81 Standard Error 3,655 0.4647 T Stat 2.82 14.30 Intercept Production (X) P-value 0.020 0.000 a. What is Newport's total fixed cost? Total Fixed Cost b. What is Newport's variable cost per unit? (Round your intermediate calculations to 2 decimal places.) Variable Cost per unit c. What total cost would Newport predict for a month in which they sold 5,000 units? Prou 22 Nas d. What proportion of variation in Newport's cost is explained by variation in production? (Round your intermediate calculations to 2 decimal places.) Proportion of Vanation %