Chef's Apron Inc. delivers ingredient and recipe meal kits to customers' homes. Chef's Apron started to see the effects of new

competitors. Orders started to decline, and to help control costs, marketing expenses were reduced. Chef's Apron focused its

marketing campaigns on customer loyalty programs to help increase the order count of existing customers. The marketing department

has asked you as a financial analyst at Chef's Apron to predict net income based on marketing expenses, cost of good sold $($COGS$),$ and

the order count. Using the data analysis regression functionality in Excel, the following regression statistics were generated:

Using the regression statistics output, predict what the net income will be if marketing expenses are $$100$ million, COGS is $$350$

million, and the order count is $8$ million. How reliable is this prediction?

$$ There is a net loss predicted to be at $$31$ million. This prediction is not reliable since the p$-$value of the independent

variables are greater than $0\mathrm{.}05.$

$$ There is a net income predicted to be at $$31$ million. This prediction is reliable since the p$-$value of the independent variables

are close to $0\mathrm{.}05.$

$$ There is a net loss predicted to be at $$31$ million. This prediction is reliable since the p$-$value of the independent variables

are close to $0\mathrm{.}05.$

$$ There is a net income predicted to be at $$31$ million. This prediction is not reliable since the p$-$value of the independent

variables are greater than $0\mathrm{.}05.$