You are thinking about opening up a Starbucks in your area but what to know if it is a good investment. How much money do Starbucks actually make in a year? You collect data to, to help estimate Annual Net Sales, in thousands, of dollars to know how much money you will be making. You collect data on 27 stores to help make your decision. x1 = Rent in Thousand per month x2 = Amount spent on Inventory in Thousand per month x3 = Amount spent on Advertising in Thousand per month x4 = Sales in Thousand per month x5= How many Competitors stores are in the Area Find the estimated regression equation which can be used to estimate Annual Net Sales when using these 5 variables are predictor variables. See Attached Excel for Data.\

The estimated multiple regression equation is ^Y= -49.17 + 15.03X₁ + 0.17X₂ + 12.23X₃ + 14.29X₄ -2.96X₅

Step-by-step explanation:

Hello!

To estimate a model to predict if it is a good investment to open a Starbucks.

Using the information of 27 Starbucks stores, and given the variables:

Y: Annual net sales ($1000)

X₁: Monthly rent ($1000)

X₂: Inventory expenses ($1000)

X₃: Advertising expenses ($1000)

X₄: Monthly sales ($1000)

X₅: Number of competitor stores in the area.

The multiple regression model is

Y= β₀ + β₁X₁ + β₂X₂ + β₃X₃ + β₄X₄ + β₅X₅ + ε

Using a statistics software I've estimated the regression equation:

^Y= -49.17 + 15.03X₁ + 0.17X₂ + 12.23X₃ + 14.29X₄ -2.96X₅

Where:

b₀: -49.17 thousand dollars  represents the estimated average annual net sales when the monthly rent, the inventory expenses, the advertising expenses,  the monthly sales and the number of competitors in the area are zero.

b₁: 15.03 represents the variation in the estimated average annual sales when the monthly rent increases $1000 and all other variables remain constant.

b₂: 0.17 represents the variation in the estimated average annual sales when the inventory expenses increase $1000 and all other variables remain constant.

b₃: 12.23 represents the variation in the estimated average annual sales when the advertisement expenses increase $1000 and all other variables remain constant.

b₄: 14.29 represents the variation in the estimated average annual sales when the monthly sales increase $1000 and all other variables remain constant.

b₅: -2.96 represents the variation in the estimated average annual sales when the number of competitors in the area increase in one unit and all other variables remain constant.

I hope this helps!

300

step-by-step explanation:

28-600w < 300

28-600w > 300

600-28w < 300

600-28w > 300

-362

step-by-step explanation:

(12)(4)+2(12)-34(12)+2(12)-3

  \/         \/         \/         \/

  48 +   24 -   408 + 24 - 3

      \   /               \   /

          72     -     432 - 3 = -363