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 0.9810 R Square 0.9572 Observations 30 Coefficients Standard Error Intercept 174,947 61,547 Production units 11.01 (x) 0.9231 T Stat P-Value 2.84 0.021 11.93 0.000 What total cost would Macomb predict for a month in which production is 2,000 units? Multiple Choice O $63,393 $21.964 5173,827 $196,967