What sentence best describes the climax in the runaway

Chipotle mexican grill, the american mexican food chain restaurant, opened its first restaurant in the united states in 1993. in 2010, chipotle opened its first restaurant in the united kingdom in london on charing cross. by late may 2013, the company had 6 restaurants in london, but they have not been doing well even though the british have taken a liking to mexican food (boyle, 2013). why has this successful u. s. chain not seen the same success overseas? if you were chipotle's ceo, how would you fix this situation? what is an alternative means of venturing outside of its domestic markets that may allow for a competitive advantage? then, pick a company that has not yet expanded overseas, or if it has expanded, suggest a different strategy for entrance into an overseas market that you feel would be more strategic for the company. research its rivals in the global marketplace and market conditions in the overseas market you are targeting. justify your recommended entry strategy based on these industry and market conditions.

Oceanside marine company manufactures special metallic materials and decorative fittings for luxury yachts that require highly skilled labor. oceanside uses standard costs to prepare its flexible budget. for the first quarter of the year, direct materials and direct labor standards for one of their popular products were as follows: direct materials: 2 pound per unit; $ 11 per pound direct labor: 2 hours per unit; $ 19 per hour oceanside produced 2 comma 000 units during the quarter. at the end of the quarter, an examination of the direct materials records showed that the company used 7 comma 500 pounds of direct materials and actual total materials costs were $ 98 comma 100. what is the direct materials cost variance? (round any intermediate calculations to the nearest cent, and your final answer to the nearest dollar.)

True or false: a fitted model with more predictors will necessarily have a lower training set error than a model with fewer predictors.