A regression analysis between sales (in $1000s) and price (in dollars) resulted in the following equation: y = 50,000 ? 8x The above equation implies that an increase of _____

a. $1 in price is associated with a decrease of $8 in sales
b. $8 in price is associated with an increase of $8,000 in sales
c. $1 in price is associated with a decrease of $42,000 in sales
d. $1 in price is associated with a decrease of $8,000 in sales


d

Business

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A certain brand of batteries has a lifetime that has a normal distribution with a mean of 3,750 hours and a standard deviation of 300 hours. What proportion of these batteries will last between 3,800 and 4,100 hours?

Business