1.The World Bank collects data on many variables related to world development for countries throughout the world. Two of these are internet use, in minutes of users per 100 people, and life expectancy, in years. The data are available in the attached file, INTERNETANDLIFE.CSV.Use the same instructions as in Homework #6 to first upload this file to RStudio Cloud, and then import the file into an RStudio work session using the read.csv command.(1 point)

(1)Using R, make a scatter plot with life expectancy as the dependent (Y) variable and internet use as the independent (X) variable. Describe the relationship between these variables.

(2) A friend looks at this plot and concludes that using the internet will increase the length of your life. Why is there association seen in the scatter plot does not provide a reason to draw this conclusion.

(3) Using R, calculate the correlation coefficient value between life expectancy and internet use. Do you think the correlation is an appropriate way for describing the association between life expectancy and internet use? Why or why not?

country

code

internet

lifeexpe

Albania

ALB

15

76.34

Algeria

DZA

7

71.99

Angola

AGO

1

42.36

Argentina

ARG

21

75.03

Armenia

ARM

6

71.6

Australia

AUS

51

81

Austria

AUT

51

79.84

Azerbaijan

AZE

10

72.33

Bahamas

BHS

34

72.91

Bahrain

BHR

28

75.66

Bangladesh

BGD

0

63.66

Barbados

BRB

85

76.77

Belarus

BLR

56

68.59

Belgium

BEL

46

79.48

Belize

BLZ

10

71.9

Benin

BEN

1

56.2

Bermuda

BMU

71

78.58

Bhutan

BTN

5

65.26

Bolivia

BOL

6

65.18

Bosnia and Herzegovina

BIH

25

74.57

Botswana

BWA

4

49.78

Brazil

BRA

23

72.08

Brunei Darussalam

BRN

42

77.13

Bulgaria

BGR

47

72.61

Burkina Faso

BFA

1

51.87

Burundi

BDI

1

49.05

Cambodia

KHM

0

58.93

Cameroon

CMR

2

50.28

Canada

CAN

77

80.36

Cape Verde

CPV

6

71

Central African Republic

CAF

0

44.38

Chad

TCD

1

50.6

Chile

CHL

25

78.29

China

CHN

10

72

Colombia

COL

15

72.59

Comoros

COM

3

63.24

Congo, Dem. Rep.

ZAR

0

46.12

Congo, Rep.

COG

2

54.79

Costa Rica

CRI

28

78.66

Cote d'Ivoire

CIV

2

48.08

Croatia

HRV

38

75.82

Cuba

CUB

2

78.04

Cyprus

CYP

46

79.29

Czech Republic

CZE

34

76.48

Denmark

DNK

58

78.1

Djibouti

DJI

1

54.48

Dominican Republic

DOM

15

72.03

Ecuador

ECU

12

74.83

Egypt

EGY

8

71.01

El Salvador

SLV

10

71.54

Equatorial Guinea

GNQ

2

51.1

Eritrea

ERI

2

57.31

Estonia

EST

54

72.57

Ethiopia

ETH

0

52.48

Fiji

FJI

10

68.59

Finland

FIN

56

79.23

France

FRA

49

80.56

French Polynesia

PYF

25

73.97

Gabon

GAB

6

56.74

Gambia

GMB

5

59.15

Georgia

GEO

7

70.72

Germany

DEU

47

79.13

Ghana

GHA

3

59.7

Greece

GRC

18

79.41

Guatemala

GTM

10

69.91

Guinea

GIN

1

55.52

Guinea-Bissau

GNB

2

46.19

Guyana

GUY

24

66.28

Haiti

HTI

7

60.32

Honduras

HND

5

69.89

Hungary

HUN

35

73.09

Iceland

ISL

64

81.17

India

IND

11

64.47

Indonesia

IDN

5

68.16

Iran

IRN

26

70.65

Ireland

IRL

34

79.39

Israel

ISR

27

80.02

Italy

ITA

52

81.08

Jamaica

JAM

49

71.12

Japan

JPN

69

82.32

Jordan

JOR

14

72.2

Kazakhstan

KAZ

8

66.16

Kenya

KEN

8

53.44

Korea, Dem. Rep.

PRK

0

66.97

Korea, Rep.

KOR

70

78.5

Kuwait

KWT

31

77.66

Kyrgyz Republic

KGZ

13

67.7

Lao PDR

LAO

1

63.86

Latvia

LVA

47

70.86

Lebanon

LBN

23

71.78

Lesotho

LSO

3

42.93

Liberia

LBR

0

45.27

Libya

LBY

4

73.98

Lithuania

LTU

32

71.04

Luxembourg

LUX

72

79.18

Macedonia

MKD

13

73.99

Madagascar

MDG

1

58.99

Malawi

MWI

0

47.61

Malaysia

MYS

54

74.05

Maldives

MDV

9

67.92

Mali

MLI

1

53.78

Malta

MLT

33

78.55

Mauritania

MRT

1

63.75

Mauritius

MUS

26

73.17

Mexico

MEX

20

74.47

Micronesia

FSM

14

68.31

Moldova

MDA

19

68.53

Mongolia

MNG

12

67.17

Montenegro

MNE

44

74.42

Morocco

MAR

20

70.7

Mozambique

MOZ

1

42.46

Myanmar

MMR

0

61.65

Namibia

NAM

4

52.5

Nepal

NPL

1

63.23

Netherlands

NLD

86

79.7

New Caledonia

NCL

34

75.33

New Zealand

NZL

76

79.93

Nicaragua

NIC

3

72.48

Niger

NER

0

56.42

Nigeria

NGA

6

46.78

Norway

NOR

81

80.33

Oman

OMN

11

75.51

Pakistan

PAK

8

65.21

Panama

PAN

15

75.4

Papua New Guinea

PNG

2

57.32

Paraguay

PRY

4

71.65

Peru

PER

24

71.12

Philippines

PHL

6

71.39

Poland

POL

37

75.14

Portugal

PRT

30

78.38

Qatar

QAT

35

75.5

Romania

ROM

52

72.18

Russian Federation

RUS

18

65.56

Rwanda

RWA

1

45.59

Samoa

WSM

4

71.33

San Marino

SMR

54

82.19

Sao Tome and Principe

STP

14

65.2

Saudi Arabia

SAU

20

72.58

Senegal

SEN

5

62.76

Serbia

SRB

0

72.78

Seychelles

SYC

34

72.22

Sierra Leone

SLE

0

42.24

Singapore

SGP

59

79.85

Slovak Republic

SVK

42

74.2

Slovenia

SVN

62

77.67

Solomon Islands

SLB

2

63.33

Somalia

SOM

1

47.69

South Africa

ZAF

8

50.71

Spain

ESP

42

80.8

Sri Lanka

LKA

3

74.97

St. Lucia

LCA

60

74.39

St. Vincent and the Grenadines

VCT

29

71.38

Sudan

SDN

8

58.11

Suriname

SUR

8

69.99

Swaziland

SWZ

4

40.77

Sweden

SWE

77

80.77

Switzerland

CHE

58

81.51

Tanzania

TZA

1

51.89

Thailand

THA

13

70.24

Timor-Leste

TMP

0

57.16

Togo

TGO

5

58.2

Tonga

TON

3

73.03

Trinidad and Tobago

TTO

22

69.58

Turkey

TUR

18

71.49

Turkmenistan

TKM

1

63.01

Uganda

UGA

5

50.74

Ukraine

UKR

19

68.04

United Arab Emirates

ARE

40

79.32

United Kingdom

GBR

62

79.14

United States

USA

70

77.85

Uruguay

URY

26

75.73

Uzbekistan

UZB

4

67.5

Venezuela, RB

VEN

15

74.4

Vietnam

VNM

17

70.85

West Bank and Gaza

WBG

7

72.93

Yemen, Rep.

YEM

1

62.21

Zambia

ZMB

4

41.67

Zimbabwe

ZWE

9

42.69