fx| A B C F G H J Is there a relationship between Quantity Sold (Output) and Price and Advertising (Input)? Can we predict Quantity Sold if we know Price and Advertising? Quantity Sold Price Advertising Show the scatter plots 8500 2. 2800 Create the descriptive statistics table 4700 200 Complete the regression Enter the R Squared 5800 3. 400 7400 500 What does this mean Is this statisically signifant? How do you know? Write the forumla for the line - (use the coefficients) 6200 3200 7300 3. 1800 5600 4. 900 Graph the residuals - what does that tell you? 6500 3. 600 6300 750 5800 1200 5500 1900 6800 3100 5500 4 700 4800 800 3500 2200 7200 4. 500 8200 2500

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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Please answer the questions after the 4th question. I submitted two different sections for the same photo 

6.
91
4.
2.
%24
Default (Ca.
BISA . E -E-1-H-
100%
% .0 .00 123-
11
fx
A24
A
B.
E
H.
J
K
L
Is there a relationship between Quantity Sold (Output) and Price and Advertising (Input)?
Can we predict Quantity Sold if we know Price and Advertising?
2.
3.
Quantity Sold Price
Advertising
Show the scatter plots
8500
2
2800
Create the descriptive statistics table
4700
Complete the regression
Enter the R Squared
200
5800
3
400
8.
7400
500
What does this mean
Is this statisically signifant? How do
Write the forumla for the line (use the coefficients)
Graph the residuals - what does that tell you?
6200
5.
3200
you
know?
10
7300
3
1800
11
5600
4.
900
12
6500
600
13
6300
4.
750
14
5800
5
1200
15
5500
5.
1900
16
6800
3100
17
5500
700
18
4800
800
19
3500
2200
20
7200
500
21
8200
2500
22
23
Transcribed Image Text:6. 91 4. 2. %24 Default (Ca. BISA . E -E-1-H- 100% % .0 .00 123- 11 fx A24 A B. E H. J K L Is there a relationship between Quantity Sold (Output) and Price and Advertising (Input)? Can we predict Quantity Sold if we know Price and Advertising? 2. 3. Quantity Sold Price Advertising Show the scatter plots 8500 2 2800 Create the descriptive statistics table 4700 Complete the regression Enter the R Squared 200 5800 3 400 8. 7400 500 What does this mean Is this statisically signifant? How do Write the forumla for the line (use the coefficients) Graph the residuals - what does that tell you? 6200 5. 3200 you know? 10 7300 3 1800 11 5600 4. 900 12 6500 600 13 6300 4. 750 14 5800 5 1200 15 5500 5. 1900 16 6800 3100 17 5500 700 18 4800 800 19 3500 2200 20 7200 500 21 8200 2500 22 23
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