A vending machine company operates coffee vending machines in office buildings. The company wants to study the relationship between the number of cups of coffee sold per day and the number of persons working in each building. Data were collected were collected by the company and presented below. a. Why do you think the company wants to collect and study the Number of Number of Cups of Coffee Sold data? persons working at b. Describe the correlation between the given variables. Use scatter plot. Location 15 20 c. Using regression analysis, write the equation used for predicting values of y. 10 15 d. Predict the values of y if the number of workers at location are the following: x = 21 16 20 x = 11 x = 35 18 25 e. As part of decision-making body of the vending machine company, what could be the possible inference/recommendation for the operation of vending machine in the location? 22 30

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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A vending machine company operates coffee vending machines in office buildings. The
company wants to study the relationship between the number of cups of coffee sold per
day and the number of persons working in each building. Data were collected were
collected by the company and presented below.
a. Why do you think the company wants to collect and study the
data?
Number of
Number of
Cups of
persons
working at Coffee Sold
Location
b. Describe the correlation between the given variables. Use scatter
plot.
15
20
c. Using regression analysis, write the equation used for predicting
values of y.
10
15
d. Predict the values of y if the number of workers at location are the
following:
x= 21
16
20
x = 11
x = 35
18
25
e. As part of decision-making body of the vending machine company,
what could be the possible inference/recommendation for the
operation of vending machine in the location?
22
30
A vending machine company operates coffee vending machines in office buildings. The
company wants to study the relationship between the number of cups of coffee sold per day
and the number of persons working in each building. Data were collected were collected by
the company and presented below.
Number of Number of
Cups of
Coffee Sold
f. Make a copy of the scatter diagram in this item.
Draw the line that best fits in the scatter diagram using the
persons
working at
Location
regression equation.
8. Locate the (X,). Describe its location in relation to the other
plotted data.
15
20
10
15
h. Give a practical interpretation of the values of a and b.
20
1. Show that the regression equation can be expressed in the form:
(y - y) = b(x - )
16
18
25
22
30
Transcribed Image Text:A vending machine company operates coffee vending machines in office buildings. The company wants to study the relationship between the number of cups of coffee sold per day and the number of persons working in each building. Data were collected were collected by the company and presented below. a. Why do you think the company wants to collect and study the data? Number of Number of Cups of persons working at Coffee Sold Location b. Describe the correlation between the given variables. Use scatter plot. 15 20 c. Using regression analysis, write the equation used for predicting values of y. 10 15 d. Predict the values of y if the number of workers at location are the following: x= 21 16 20 x = 11 x = 35 18 25 e. As part of decision-making body of the vending machine company, what could be the possible inference/recommendation for the operation of vending machine in the location? 22 30 A vending machine company operates coffee vending machines in office buildings. The company wants to study the relationship between the number of cups of coffee sold per day and the number of persons working in each building. Data were collected were collected by the company and presented below. Number of Number of Cups of Coffee Sold f. Make a copy of the scatter diagram in this item. Draw the line that best fits in the scatter diagram using the persons working at Location regression equation. 8. Locate the (X,). Describe its location in relation to the other plotted data. 15 20 10 15 h. Give a practical interpretation of the values of a and b. 20 1. Show that the regression equation can be expressed in the form: (y - y) = b(x - ) 16 18 25 22 30
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