What incentive does the Zimbabwean government provide to gold exporters like Patney? 

Schager Company purchased a computer system on January 1, 2025, at a cash cost of $25,000. The estimated useful life is 10 years, and the estimated residual value is $3,000. The company will use the double declining-balance depreciation method. How much is the 2025 depreciation expense?

What crucial mistake did Lulama Kenny help Mo Dollars accomplish at Sasfin Bank?

What license arrangement allows the gold mafia to operate “legally” in Zimbabwe? 

According to the documentary, approximately how much money does Mo Dollars launder monthly through the Gold Leaf Tobacco operation?

How does Mo Dollars control multiple South African banks according to his brother Daoud? 

What percentage of the world’s gold goes through Dubai according to the documentary? 

In order to calculate the cash price of a long-term asset that could be financed with semi-annual payments over five years, present value concepts would be used.

  SHOW WORK ON SHEET FOR PARTIAL CREDIT Last season, Sidney Crosby faced Connor Hellebuyck on a decisive breakaway. Crosby can shoot forehand (FH) — a powerful, direct shot — or backhand (BH) — a softer, more deceptive shot. Hellebuyck must decide whether to guard forehand (FH) or backhand (BH). The payoffs below indicate the probability Crosby scores first followed by the probability Hellebuyck makes the save. Hellebuyck FH Hellebuyck BH Crosby FH (60,40) (80, 20) Crosby BH (90,10) (30,70) If both play the Nash equilibrium strategy, what is the expected probability the Crosby scores? Report your answer as a decimal to 3 places.  For 20.7%, Enter .207

Run the following linear regression was run to predict Wins in the MLB from 2015-2024 (sans 2020)  based on the following statistics: OPS: On-base percentage + Slugging percentage WHIP: Walks + hits given up per inning pitched (You can copy this code directly into your R session–and should have done so prior to the quiz) teams %filter(yearID >= 2015, yearID !=2020) %>%mutate(OBP = (H + BB + HBP)/(AB + BB + HBP + SF),SLG = (H + X2B + 2 * X3B + 3 * HR)/AB,OPS = OBP + SLG,WHIP = (BBA + HA)/(IPouts/3)) lm(W ~ OPS + WHIP, teams) %>%summary()   What proportion of variability in wins is explained by the model (i.e., how much variation in wins is explained by those two statistics? Report your answer to 4 decimal places (I will accept 2 different answers)