f. Use Statkey to create a scatterplot with regression line, with summary statistics, of these variables. Include a screen shot of your software output. Write the correlation and regression equation here. Correlation: Sections 2.5, 2.6, & P.1 Regression equation: MATH 1342 Page 1 of 2 g. Interpret the slope of the regression line in context. Remember that an interpretation must include a number and units, in a sentence that explains the meaning. h. The graph shows one outlier with low internet speed and a high average number of hours spent online. Indicate the country associated with this outlier. Ordered pair: Country:

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Please answer F, G, & H. I have provided the data set as well. Thanks.
+
L
206%-
Sheet 1
Country
Swizerland
United States
Germany
Australia
United Kingdom
France
Spain
Italy
Brazil
PDF
Add Category
GlobalInternet2019
InternetSpeed HoursOnline
JUN
20
[+] V
Insert
38.85
32.89
24.64
16.36
22.37
30.44
36.06
17.3
4.84
4.97
6.52
4.62
5.07
5.77
4.63
4.3
6.07
9.29
Table
A
Transcribed Image Text:+ L 206%- Sheet 1 Country Swizerland United States Germany Australia United Kingdom France Spain Italy Brazil PDF Add Category GlobalInternet2019 InternetSpeed HoursOnline JUN 20 [+] V Insert 38.85 32.89 24.64 16.36 22.37 30.44 36.06 17.3 4.84 4.97 6.52 4.62 5.07 5.77 4.63 4.3 6.07 9.29 Table A
1. The dataset GlobalInternet2019 contains data from nine countries with the two variables
InternetSpeed (average download speed in MB) and HoursOnline (average hours online per day). We
are interested in looking at whether Internet speed predicts the number of hours spent online.
a. Identify the cases, the explanatory variable, and the response variable. Indicate whether each
variable is categorical or quantitative. (Switurland, United States, Germany,
What are the Cases?
Explanatory variable: Internet speed
Response variable: murs online
b. What would a positive association mean in this context?
A positive association would mean that the countries with
avicker internet speed tend to have more hours online.
9 countries Australia, United Kingdom, France,
spain, Italy, and Horquil)
c. Briefly explain why a positive relationship might make sense in this context.
A Positive relationship might make sense because people who are online more frequently,
need of faster internet speed. This would allow people to complete their internet usage faster and allow for more free
time. A pofitive relationship verween Two variables is when one variable increases, the other vainable tends to increase.
d. What would a negative association mean in this context?
A negative relationship in this case would mean that countries with faster internet, have fewer hours online. It negative relationship
between two variables occurs when one variable is increasing, while the other variaple tends to decrease.
e. Briefly explain why a negative relationship might make sense in this context.
This negative correlation between the varriables makes less sense because it would infer that the countries with higher internet speeds
are spending more time online, even mhough they can complete these tasks more efficiently. It could make sense if spending more time
online decreased the internet speed.
Correlation:
positive association:
as one variable increases,
the other variable moreases.
f. Use Statkey to create a scatterplot with regression line, with summary statistics, of these variables.
Include a screen shot of your software output. Write the correlation and regression equation
here.
Sections 2.5, 2.6, & P.1
Regression equation:
MATH 1342
Page 1 of 2
g. Interpret the slope of the regression line in context. Remember that an interpretation must
include a number and units, in a sentence that explains the meaning.
h. The graph shows one outlier with low internet speed and a high average number of hours spent
online. Indicate the country associated with this outlier.
Ordered pair:
Country:
Transcribed Image Text:1. The dataset GlobalInternet2019 contains data from nine countries with the two variables InternetSpeed (average download speed in MB) and HoursOnline (average hours online per day). We are interested in looking at whether Internet speed predicts the number of hours spent online. a. Identify the cases, the explanatory variable, and the response variable. Indicate whether each variable is categorical or quantitative. (Switurland, United States, Germany, What are the Cases? Explanatory variable: Internet speed Response variable: murs online b. What would a positive association mean in this context? A positive association would mean that the countries with avicker internet speed tend to have more hours online. 9 countries Australia, United Kingdom, France, spain, Italy, and Horquil) c. Briefly explain why a positive relationship might make sense in this context. A Positive relationship might make sense because people who are online more frequently, need of faster internet speed. This would allow people to complete their internet usage faster and allow for more free time. A pofitive relationship verween Two variables is when one variable increases, the other vainable tends to increase. d. What would a negative association mean in this context? A negative relationship in this case would mean that countries with faster internet, have fewer hours online. It negative relationship between two variables occurs when one variable is increasing, while the other variaple tends to decrease. e. Briefly explain why a negative relationship might make sense in this context. This negative correlation between the varriables makes less sense because it would infer that the countries with higher internet speeds are spending more time online, even mhough they can complete these tasks more efficiently. It could make sense if spending more time online decreased the internet speed. Correlation: positive association: as one variable increases, the other variable moreases. f. Use Statkey to create a scatterplot with regression line, with summary statistics, of these variables. Include a screen shot of your software output. Write the correlation and regression equation here. Sections 2.5, 2.6, & P.1 Regression equation: MATH 1342 Page 1 of 2 g. Interpret the slope of the regression line in context. Remember that an interpretation must include a number and units, in a sentence that explains the meaning. h. The graph shows one outlier with low internet speed and a high average number of hours spent online. Indicate the country associated with this outlier. Ordered pair: Country:
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