$(9)$ Canvas

$(3)xB$

You are a market researcher for Trader Tim's, a grocery store chain focused on creating unique and affordable meal options for busy families. In order to better understand the factors that impact total spend with Trader Tim's, you conduct a survey of current shoppers. You ask the following questions on the survey:

On average, how much do you spend per week at Trader Tim's? Variable name $=$ weekly$\_$spend Are you a member of the Trader Tim's rewards program? Variable name $=$ rewards no$)$ How many people currently live in your household? Variable name $=$ household$\_$size

You run a multiple linear regression with rewards yes, $0=$ no$)$ and household$\_$size as the independent $(x)$ variables, and weekly spend as the dependent $(Y)$ variable. You get the following output:

$\backslash$table$[[,$Coefficient,P$-$value,$],[$Intercept$,$$$,30\mathrm{.}00,<mn\; id="EditorElement\_1425210">0</mn><mn\; id="EditorElement\_1425211">.</mn><mn\; id="EditorElement\_1425212">0</mn><mn\; id="EditorElement\_1425213">0</mn><mn\; id="EditorElement\_1425214">1</mn>$