Suppose Sally Fry collects burger sales for a new year (i.e., different from the year’s worth of data that we analyzed in class), recording again burger sales every single day of the new year.
marketing
Description
INSTRUCTIONS:
1. TYPE or PASTE
your answers in the indicated area (submit as a WORD file).
2. This is an individual
assignment, to be completed by you on your own.
Questions #1
through #11: Suppose Sally Fry
collects burger sales for a new year (i.e., different from the year’s worth of
data that we analyzed in class), recording again burger sales every single day
of the new year. The file containing
this data is found on Blackboard, in the foodtrucktwo.sav
file.
Use the foodtrucktwo.sav to answer Questions #1 through #11
below. Assume the same food costs (Ex. 1), parking
costs (case text), and travel distances (Ex. 2) as contained in the original
Food Truck Forecaster case. Now,
however, assume that Sally’s truck gets 6 kilometers per liter, and that the
price of gas is 106.8 cents per liter.
1. What is the correlation between the number of
burgers sold and price?
Answer: _____-.172 _________
(to 2 decimal places)
2. Run a regression
model that predicts the number of burgers sold (i.e., QSold) as a function of
the independent variables available in the data set (variable names provided
below; variable definitions are the same as in the original case). Provide the SPSS output below, showing the
regression coefficients.
(Note: some
variables in the data file may include extra decimal-level precision, e.g., the
values for QSold (to account for spoilage).
That’s OK – just run the regression model using the values in the data
set as they are entered).
