was in New Orleans during the same year:

$\backslash$table$[[$Year$,1,2,3,4,5,6,7,8,9,10],[\backslash$table$[[$Number of Patients$],[$Robbery Rate$],[$per $1,000$ Population$]],37,33,40,41,40,54,62,53,59,61]]$

The simple linear regression equation that shows the best relationship between the number of patients and the robbery rate is $($round your responses to three decimal places$)$:

hat$(y)=+x$

where hat$(y)=$ Number of Patients and $x=$ Robbery Rate.

In year $11,$ if the robbery rate increases to $133\mathrm{.}40,$ using trend analysis, the number of patients Dr$.$ Fok will see $=$ patients $($round your response to two decimal places$).$

In year $11,$ if the robbery rate decreases to $90\mathrm{.}6,$ using trend analysis, the number of patients Dr$.$ Fok will see $=$ patients $($round your response to two decimal places$).$