Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales. What can you conclude? Net Sales (S)Net Sales ($)350.00300.00250.00200.00150.00100.0050.000.00180.00160.00140.00120.00100.0080.0060.0040.0020.000.0000Promotional Customers Net Sales by AgeInterceptRegular CustomersAgeInterceptPromotional CustomersAge•10·1020Regular Customers Net Sales by Age2040Customer Age1.1022582330Linear Regression Equation Regular:y = 1.10x + 35.874●Linear Regression Equation Promotional:y = -1.40x + 144.886●Coefficients.8●●3040Customer Age144.8862635-1.402961953Coefficients Standard Error35.874338717.19051208500.49164603212●50O60●●Standard Error19.69073935600.5652786527070

A scatterplot is a graphical representation which shows a relationship b/w 2 variables.

Answered: Round the rate of changes (slopes) to…

Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales. What can you conclude?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales. What can you conclude?

Net Sales (S)
Net Sales ($)
350.00
300.00
250.00
200.00
150.00
100.00
50.00
0.00
180.00
160.00
140.00
120.00
100.00
80.00
60.00
40.00
20.00
0.00
0
0
Promotional Customers Net Sales by Age
Intercept
Regular Customers
Age
Intercept
Promotional Customers
Age
•
10
·
10
20
Regular Customers Net Sales by Age
20
40
Customer Age
1.10225823
30
Linear Regression Equation Regular:
y = 1.10x + 35.874
●
Linear Regression Equation Promotional:
y = -1.40x + 144.886
●
Coefficients
.8
●
●
30
40
Customer Age
144.8862635
-1.402961953
Coefficients Standard Error
35.8743387
17.19051208
50
0.491646032
12
●
50
O
60
●
●
Standard Error
19.69073935
60
0.565278652
70
70

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