reshcrim specializes in the sales of ice cream from street trolleys in the centers of many cities. Some factors that may determine the sales of ice cream are: the atmospheric temperature, the location of the trolley, the rain and the humidity. However, there exists a hypothesis that the sales of ice cream during the summer are significantly correlated only with atmospheric temperature. They defined two variables: X : the mean atmospheric temperature and Y : the sales. They considered the month of July of this year in a random sample of 30 cities. For each city in the sample, let x be the mean temperature in degrees Fahrenheit and y the mean sales per day in dollars per 100,000 residents. The data are given below. A regression model was run, with Y as the dependent variable and X as the independent variable.
reshcrim specializes in the sales of ice cream from street trolleys in the centers of many cities. Some factors that may determine the sales of ice cream are: the atmospheric temperature, the location of the trolley, the rain and the humidity. However, there exists a hypothesis that the sales of ice cream during the summer are significantly correlated only with atmospheric temperature. They defined two variables: X : the mean atmospheric temperature and Y : the sales. They considered the month of July of this year in a random sample of 30 cities. For each city in the sample, let x be the mean temperature in degrees Fahrenheit and y the mean sales per day in dollars per 100,000 residents. The data are given below. A regression model was run, with Y as the dependent variable and X as the independent variable.
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
Freshcrim specializes in the sales of ice cream from street trolleys in the centers of many cities. Some factors
that may determine the sales of ice cream are: the atmospheric temperature, the location of the trolley, the
rain and the humidity. However, there exists a hypothesis that the sales of ice cream during the summer are
significantly
atmospheric temperature and Y : the sales. They considered the month of July of this year in a random
sample of 30 cities. For each city in the sample, let x be the mean temperature in degrees Fahrenheit and y
the mean sales per day in dollars per 100,000 residents. The data are given below. A regression model was
run, with Y as the dependent variable and X as the independent variable.
Transcribed Image Text:City
1
2
3
4
5
6
7
8
9
10
11
×›
y
92.8 37.62
84.0
73.8
74.5
83.0
78.4
82.0
75.1
39.18
85.0
45.57
25.53
31.62
30.66
91.5 44.83
34.45
33.48
45.63
71.3 38.84
City
12
13
14
15
16
17
18
19
20
21
22
X
80.0 33.07
93.0 46.64
97.4
92.0
32
81.0 28.25
91.0
80.3
41.40
81.5 45.24
73.2
36.26
38.38
41.55
41.61
90.0 35.34
85.2 48.04
City
23
24
25
26
27
28
29
30
31
32
33
96.6
88.0
87.8 35.20
98.3
77.0
90.6
94.4
99.2
95.0
y
86.0
51.11
48.91
40.47
45.54
49.81
38.79
46.71
53.01
34.23
72.6 33.03
Transcribed Image Text:Find the unexplained deviation for city 31 in the sample.
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