Macomb Inc. used Excel to run a least-squares regression analysis on the production cost data resulting in the following output: Regression Statistics Multiple R R Square Observations 0.9834 0.9596 30 Coefficients Intercept Production units 174,980 11.53 (X) Standard Error T Stat P-Value 61,580 2.84 0.021 0.9265 12.44 0.000 What total cost would Macomb predict for a month in which production is 2,000 units