1 SUMMARY OUTPUT (2 paprameters - age group + grocery shopping frequency) 2 Regression Statistics 4 Multiple R 0.23366298 5 R Square 6 Adjusted R S 0.03676062 7 Standard Err 0.62228747 8 Observations 3 0.05459839 55 9 10 ANOVA Significance F df 1 1.18528139 1.18528139 11 SS MS F 12 Regression 13 Residual 14 Total 3.060831048 0.085989153 53 20.5238095 0.38724169 54 21.7090909 15 Coefficients tandard Erro t Stat P-value 16 Lower 95% Upper 95% Lower 95.0% Upper 95.0% 17 Intercept 18 X Variable 1 0.2202381 0.12588465 1.74952309 0.085989153 0.92261905 0.35565071 2.59417182 0.012234115 0.209274063 1.63596403 0.20927406 1.63596403 -0.03225453 0.47273072 -0.0322545 0.47273072 19 20 what is the predicted grocery shopping frequency for age group 41 - 50? 21 The mean for Age is 2.5 (or 24), but this model shows that people shop less frequent as they grow older 22 23 grocery shopping frequency = 0.922619048 + 0.220238095 * age group 24 y= < 18 1 18 - 21 22 - 30 31- 40 2.02380952 2 25 3 26 4. 27 41-50

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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A
Bi
E
F
G
H.
1 SUMMARY OUTPUT
(2 paprameters - age group + grocery shopping frequency)
Regression Statistics
4 Multiple R
5 R Square
6 Adjusted R S 0.03676062
7 Standard Err 0.62228747
8 Observations
3
0.23366298
0.05459839
55
9
10 ANOVA
11
df
MS
F
Significance F
12 Regression
13 Residual
14 Total
1 1.18528139 1.18528139
3.060831048
0.085989153
53 20.5238095 0.38724169
54 21.7090909
15
16
Coefficients tandard Erro
t Stat
P-value
Lower 95%
Upper 95% Lower 95.0% Upper 95.0%
17 Intercept
18 X Variable 1 0.2202381 0.12588465 1.74952309 0.085989153
0.92261905 0.35565071 2.59417182
0.012234115
0.209274063 1.63596403 0.20927406 1.63596403
-0.03225453 0.47273072 -0.0322545 0.47273072
19
20 what is the predicted grocery shopping frequency for age group 41 - 50?
21 The mean for Age is 2.5 (or 24), but this model shows that people shop less frequent as they grow older
22
23 grocery shopping frequency = 0.922619048 + 0.220238095 * age group
24 y=
< 18
1
18 - 21
22 - 30
31- 40
2.02380952
2
25
26
4
27
41 - 50
Transcribed Image Text:A Bi E F G H. 1 SUMMARY OUTPUT (2 paprameters - age group + grocery shopping frequency) Regression Statistics 4 Multiple R 5 R Square 6 Adjusted R S 0.03676062 7 Standard Err 0.62228747 8 Observations 3 0.23366298 0.05459839 55 9 10 ANOVA 11 df MS F Significance F 12 Regression 13 Residual 14 Total 1 1.18528139 1.18528139 3.060831048 0.085989153 53 20.5238095 0.38724169 54 21.7090909 15 16 Coefficients tandard Erro t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 17 Intercept 18 X Variable 1 0.2202381 0.12588465 1.74952309 0.085989153 0.92261905 0.35565071 2.59417182 0.012234115 0.209274063 1.63596403 0.20927406 1.63596403 -0.03225453 0.47273072 -0.0322545 0.47273072 19 20 what is the predicted grocery shopping frequency for age group 41 - 50? 21 The mean for Age is 2.5 (or 24), but this model shows that people shop less frequent as they grow older 22 23 grocery shopping frequency = 0.922619048 + 0.220238095 * age group 24 y= < 18 1 18 - 21 22 - 30 31- 40 2.02380952 2 25 26 4 27 41 - 50
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