A Large National Bank Charges Local Companies for Using Its $$E ( y ) = \beta _ { 0 } + \beta _ { 1 } x .$$

A large national bank charges local companies for using its services. A bank official reported the results of a regression analysis designed to predict the bankʹs charges (y) , measured in dollars per
Month, for services rendered to local companies. One independent variable used to predict the
Service charge to a company is the companyʹs sales revenue (x) , measured in $ million. Data for 21
Companies who use the bankʹs services were used to fit the model $$E ( y ) = \beta _ { 0 } + \beta _ { 1 } x .$$
The results of the simple linear regression are provided below.
$$\hat { y } = 2,700 + 20 x$$
Interpret the estimate of $\beta _ { 0 }$ , the $y$ -intercept of the line.

A) All companies will be charged at least $\$ 2,700$ by the bank.
B) For every $\$ 1$ million increase in sales revenue, we expect a service charge to increase $\$ 2,700$ .
C) About $95 \%$ of the observed service charges fall within $\$ 2,700$ of the least squares line.
D) There is no practical interpretation since a sales revenue of $\$ 0$ is a nonsensical value.