INTERNETANDLIFE 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 Channel Islands CHI 0 78 85 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 Faeroe Islands FRO 70 78 84 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 Puerto Rico PRI 25 78 42 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 Virgin Islands (U S ) VIR 28 78 75 West Bank and Gaza WBG 7 72 93 Yemen, Rep YEM 1 62 21 Zambia ZMB 4 41 67 Zimbabwe ZWE 9 42 69 GENERATEDATA y x 34 38 22 06 30 38 19 88 26 13 18 83 31 85 22 09 26 77 17 19 29 20 72 28 92 18 1 26 3 18 01 29 49 18 69 31 36 18 05 27 07 17 75 31 17 19 96 27 74 17 87 30 01 20 2 29 61 20 65 31 78 20 32 32 93 21 37 30 29 17 31 28 57 23 5 29 8 22 02 TOBACCO region alcohol tobacco North 6 47 4 03 Yorkshire 6 13 3 76 Northeast 6 19 3 77 East Midlands 4 89 3 34 West Midlands 5 63 3 47 East Anglia 4 52 2 92 Southeast 5 89 3 2 Southwest 4 79 2 71 Wales 5 27 3 53 Scotland 6 08 4 51 North Ireland 4 02 4 56 Assignment 8 Data from a British government survey of household spending may be used to examine the relationship between household spending on tobacco products and alcoholic beverages You can find this data on the Canvas website The dataset is called tobacco csv Tobacco spending is the explanatory variable, and alcohol spending is the response variable What is the equation of the least squares regression line Show a scatterplot of the data Include the least square regression line on the graph Describe the form, direction, and strength of your data What of the variation in alcohol spending is explained by the least squares regression line Give a 99 confidence interval for the average rate of change of alcohol spending for a one unit (hundreds of thousands) increase in tobacco spending ( Hint This is another way to say slope ) Are tobacco spending and alcohol spending independent Perform a test and state the hypotheses, P value, and conclusion in terms of the question Assess the normality assumption based on the normal probability plot provided below fNormal Probability Plot 7 000 6 500 6 000 5 500 alcohol 5 000 4 500 4 000 3 500 3 000 0 000 20 000 40 000 60 000 80 000 100 000 120 000 Sample PercentileT T fTable l Interobserver Variation Usefulness of Noon Lectures Resident l Lectnres Helpful Yes No Total Resident 2 Yes 15 5 20 Lectures No 10 70 80 Helpful Tom 25 75 100 Data Layout Observer 1 Result Yes No Tom Observer 2 Yes a b n11 Result No c d n10 Total n n n l O (a) and ((1) represent the number of times the two observers agree while (b) and (c) represent the number of times the two observers disagree If there are no disagreements, (b) and (c) would be zero and the observed agreement (p0) is l or 100 If there are no agreements (a) and (CD would be zero and the observed agreement (p0) is O Calculations Expected agreement 13 2 (n n) (1n1 n) (nor'n) (1110111) In this example the expected agreement is 1), (220 100) (25 '100) (75100) (80000) 0 05 0 60 0 65 Kappa K (Po9e) 0 850 65 0 57 W 10 65

The Answer is in the image, click to view ...

Answered step by step

Verified Expert Solution

Link Copied!

Question

1 Approved Answer

Posted on Jun 28, 2024

INTERNETANDLIFE: 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

INTERNETANDLIFE:

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
Channel Islands	CHI	0	78.85
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
Faeroe Islands	FRO	70	78.84
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
Puerto Rico	PRI	25	78.42
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
Virgin Islands (U.S.)	VIR	28	78.75
West Bank and Gaza	WBG	7	72.93
Yemen, Rep.	YEM	1	62.21
Zambia	ZMB	4	41.67
Zimbabwe	ZWE	9	42.69

GENERATEDATA:

y	x
34.38	22.06
30.38	19.88
26.13	18.83
31.85	22.09
26.77	17.19
29	20.72
28.92	18.1
26.3	18.01
29.49	18.69
31.36	18.05
27.07	17.75
31.17	19.96
27.74	17.87
30.01	20.2
29.61	20.65
31.78	20.32
32.93	21.37
30.29	17.31
28.57	23.5
29.8	22.02

TOBACCO:

region	alcohol	tobacco
North	6.47	4.03
Yorkshire	6.13	3.76
Northeast	6.19	3.77
East Midlands	4.89	3.34
West Midlands	5.63	3.47
East Anglia	4.52	2.92
Southeast	5.89	3.2
Southwest	4.79	2.71
Wales	5.27	3.53
Scotland	6.08	4.51
North Ireland	4.02	4.56

Assignment #8

Data from a British government survey of household spending may be used to examine the relationship between household spending on tobacco products and alcoholic beverages.

You can find this data on the Canvas website. The dataset is called "tobacco.csv".

Tobacco spending is the explanatory variable, and alcohol spending is the response variable. What is the equation of the least-squares regression line?
Show a scatterplot of the data. Include the least square regression line on the graph.Describe the form, direction, and strength of your data.
What % of the variation in alcohol spending is explained by the least squares regression line?
Give a 99% confidence interval for the average rate of change of alcohol spending for a one-unit (hundreds of thousands) increase in tobacco spending. (Hint: This is another way to say "slope")
Are tobacco spending and alcohol spending independent? Perform a test and state the hypotheses, P-value, and conclusion in terms of the question.
Assess the normality assumption based on the normal probability plot provided below.

\fNormal Probability Plot 7.000 6.500 6.000 5.500 alcohol 5.000 4.500 4.000 3.500 3.000 0.000 20.000 40.000 60.000 80.000 100.000 120.000 Sample PercentileT. T\fTable l Interobserver Variation Usefulness of Noon Lectures Resident l Lectnres Helpful? Yes No Total Resident 2 Yes 15 5 20 Lectures No 10 70 80 Helpful? Tom! 25 75 100 Data Layout Observer 1 Result Yes No Tom! Observer 2 Yes a b n11 Result No c d n10 Total n n n l O (a) and ((1) represent the number of times the two observers agree while (b) and (c) represent the number of times the two observers disagree. If there are no disagreements, (b) and (c) would be zero. and the observed agreement (p0) is l. or 100%. If there are no agreements. (a) and (CD would be zero. and the observed agreement (p0) is O. Calculations.- Expected agreement 13.2 = [(n.-"n) * (1n1-"n)] + [(nor'n) * (1110111)] In this example. the expected agreement is: 1),: = [(220-100) * (25-"'100)] + [(75100) * (80000)] = 0.05 + 0.60 = 0.65 Kappa. K = (Po9e) = 0.850.65 = 0.57 W 10.65