A large national bank charges local companies for using their services. A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)measured in dollars per monthfor services rendered to local companies. One independent variable used to predict service charges to a company is the company's sales revenue (X)measured in millions of dollars. Data for 21 companies who use the bank's services were used to fit the model: The results of the simple linear regression are provided below. Referring to the equation above, interpret the estimate of 0, the Y-intercept of the line. For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700. There is no practical interpretation since a sales revenue of $0 is a nonsensical value. About 95% of the observed service charges fall within $2,700 of the least squares line. All companies will be charged at least $2,700 by the bank.