Enterprise Industries produces Fresh, a brand of liquid laundry detergent. In order to study the relationship between price difference of two products and demand for the large bottle of Fresh, company gathered the data in FreshDetergent.xlsx over the last 30 sales period. Here for each period, y = demand for the large bottle of Fresh in the sales period (Demand) x = the price difference in the sales period (PriceDif). Perform a simple linear regression analysis to answer the following questions from R-output. Output should look similar to partial output result in figure 2 Residuals: Min Max 1Q Median 3Q -0.45713 -0.21121 -0.04898 0.14314 0.84961 Coefficients: (Intercept) 7.81409 PriceDif Estimate Std. Error t value Pr(>|t|) 0.07988 97.822e-16 *** 2.66521 0.25850 10.31 4.88e-11 *** Signif. codes: ***** 0.001 *** 0.01 0.05. 0.1'1 Residual standard error: 0.3166 on 28 degrees of freedom Multiple R-squared: 0.7915, Adjusted R-squared: 0.7841 F-statistic: 106.3 on 1 and 28 DF, p-value: 4.881e-11

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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Related questions
Question
A
1 Demand
2
WN
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
7.38
8.51
9.52
7.50
9.33
8.28
8.75
7.87
7.10
8.00
7.89
8.15
9.10
8.86
8.90
8.87
9.26
9.00
8.75
7.95
7.65
7.27
8.00
8.50
8.75
9.21
8.27
7.67
7.93
9.26
B
PriceDif
-0.05
0.25
0.60
0.00
0.25
0.20
0.15
0.05
-0.15
0.15
0.20
0.10
0.40
0.45
0.35
0.30
0.50
0.50
0.40
-0.05
-0.05
-0.10
0.20
0.10
0.50
0.60
-0.05
0.00
0.05
0.55
C
Transcribed Image Text:A 1 Demand 2 WN 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 7.38 8.51 9.52 7.50 9.33 8.28 8.75 7.87 7.10 8.00 7.89 8.15 9.10 8.86 8.90 8.87 9.26 9.00 8.75 7.95 7.65 7.27 8.00 8.50 8.75 9.21 8.27 7.67 7.93 9.26 B PriceDif -0.05 0.25 0.60 0.00 0.25 0.20 0.15 0.05 -0.15 0.15 0.20 0.10 0.40 0.45 0.35 0.30 0.50 0.50 0.40 -0.05 -0.05 -0.10 0.20 0.10 0.50 0.60 -0.05 0.00 0.05 0.55 C
2. Enterprise Industries produces Fresh, a brand of liquid laundry detergent. In order to study the
relationship between price difference of two products and demand for the large bottle of Fresh,
company gathered the data in FreshDetergent.xlsx over the last 30 sales period. Here for each
period,
y = demand for the large bottle of Fresh in the sales period (Demand)
x = the price difference in the sales period (PriceDif).
Perform a simple linear regression analysis to answer the following questions from R-output.
Output should look similar to partial output
result in figure 2
Residuals:
Max
Min
1Q Median
3Q
-0.45713 -0.21121 -0.04898 0.14314 0.84961
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 7.81409 0.07988 97.82 < 2e-16 ***
PriceDif 2.66521 0.25850 10.31 4.88e-11 ***
Signif. codes: 0 ****' 0.001 **** 0.01 0.05 0.11
Residual standard error: 0.3166 on 28 degrees of freedom
Multiple R-squared: 0.7915, Adjusted R-squared: 0.7841
F-statistic: 106.3 on 1 and 28 DF, p-value: 4.881e-11
Transcribed Image Text:2. Enterprise Industries produces Fresh, a brand of liquid laundry detergent. In order to study the relationship between price difference of two products and demand for the large bottle of Fresh, company gathered the data in FreshDetergent.xlsx over the last 30 sales period. Here for each period, y = demand for the large bottle of Fresh in the sales period (Demand) x = the price difference in the sales period (PriceDif). Perform a simple linear regression analysis to answer the following questions from R-output. Output should look similar to partial output result in figure 2 Residuals: Max Min 1Q Median 3Q -0.45713 -0.21121 -0.04898 0.14314 0.84961 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 7.81409 0.07988 97.82 < 2e-16 *** PriceDif 2.66521 0.25850 10.31 4.88e-11 *** Signif. codes: 0 ****' 0.001 **** 0.01 0.05 0.11 Residual standard error: 0.3166 on 28 degrees of freedom Multiple R-squared: 0.7915, Adjusted R-squared: 0.7841 F-statistic: 106.3 on 1 and 28 DF, p-value: 4.881e-11
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