Caf$$ Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical observations, Gary has gathered the following data, which show the numbers of these coffees sold over six different price values:

$$

Price

$$2\mathrm{.}60$

$$3\mathrm{.}40$

$$1\mathrm{.}90$

$$4\mathrm{.}20$

$$3\mathrm{.}20$

$$4\mathrm{.}10$

Number Sold

$765$

$510$

$975$

$245$

$325$

$490$

Part $2$

Using simple linear regression... and given that the price per cup is $$,$ the forecasted demand for mocha latte coffees will be

$$

enter your response here cups $($enter your response rounded to one decimal place$).$show the numbers of these coffees sold over six different price values:

$\backslash$table$[[$Price$,$Number Sold$],[$$$2\mathrm{.}60,765],[$$$3\mathrm{.}40,510],[$$$1\mathrm{.}90,975],[$$$4\mathrm{.}20,245],[$$$3\mathrm{.}20,325],[$$$4\mathrm{.}10,490]]$

Using simple linear regression and given that the price per cup is $$1\mathrm{.}75,$ the forecasted demand for mocha latte coffees will be cups $($enter your response rounded to one decimal place$).$