Country Name GDP Per Capita Life Expectancy Afghanistan $687.58 60.51 Albania $4,406.12 77.35 Algeria $5,309.82 70.88 Angola $5,539.80 51.46 Antigua and Barbuda $13,525.62 75.67 Argentina $14,679.93 76.01 Armenia $3,353.97 74.44 Australia $67,524.76 82.10 Austria $48,348.23 80.94 Azerbaijan $7,393.77 70.62 Bahamas, The $22,096.46 74.91 Bahrain $23,339.02 76.54 Bangladesh $862.05 70.29 Barbados $14,917.15 75.13 Belarus $6,721.83 72.06 Belgium $44,827.66 80.39 Belize $4,856.72 73.70 Benin $750.51 59.12 Bermuda $84,470.76 79.29 Bhutan $2,458.40 67.89 Bolivia $2,575.68 66.93 Bosnia and Herzegovina $4,409.59 76.12 Botswana $7,254.56 46.99 Brazil $11,319.97 73.62 Brunei Darussalam $41,126.61 78.37 Bulgaria $7,198.05 74.31 Burkina Faso $651.65 55.86 Burundi $251.01 53.63 Cabo Verde $3,554.41 74.54 Cambodia $945.49 71.41 Cameroon $1,219.93 54.59 Canada $52,409.19 81.24 Central African Republic $479.47 49.48 Chad $1,035.26 50.70 Chile $15,245.47 79.57 China $6,092.78 75.20 Colombia $7,762.97 73.78 Comoros $767.21 60.64 Congo, Dem. Rep. $446.03 49.62 Congo, Rep. $3,153.74 58.30 Costa Rica $9,442.66 79.71 Cote d'Ivoire $1,365.87 50.40 Croatia $13,234.62 76.92 Cyprus $26,352.27 79.64 Czech Republic $19,670.40 78.08 Denmark $57,636.13 80.05 Djibouti $1,574.63 61.30 Dominican Republic $5,870.77 73.23 Ecuador $5,655.95 76.19 Egypt, Arab Rep. $3,256.02 70.91 El Salvador $3,781.50 72.10 Equatorial Guinea $22,404.75 52.61 Eritrea $504.32 62.23 Estonia $17,102.25 76.43 Ethiopia $472.16 62.97 Fiji $4,401.10 69.74 Finland $47,243.74 80.63 France $40,908.27 82.57 Gabon $10,929.88 63.07 Gambia, The $509.39 58.61 Georgia $3,528.73 73.94 Germany $43,931.69 80.89 Ghana $1,645.52 60.95 Greece $22,494.41 80.63 Grenada $7,583.04 72.61 Guatemala $3,340.78 71.66 Guinea $493.49 55.84 Guinea-Bissau $576.39 54.03 Guyana $3,584.69 66.05 Haiti $775.54 62.70 Honduras $2,339.29 73.49 Hong Kong SAR, China $36,707.86 83.48 Hungary $12,784.30 75.06 Iceland $44,221.73 82.92 India $1,503.00 66.21 Indonesia $3,551.42 70.61 Iran, Islamic Rep. $6,578.12 73.76 Iraq $6,631.56 69.24 Ireland $48,391.33 80.90 Israel $32,514.55 81.70 Italy $35,132.19 82.94 Jamaica $5,463.76 73.28 Japan $46,679.27 83.10 Jordan $4,909.03 73.75 Kazakhstan $12,120.31 69.61 Kenya $1,165.74 61.08 Kiribati $1,736.20 68.53 Korea, Rep. $24,453.97 81.37 Kosovo $3,596.88 70.50 Kuwait $53,544.04 74.36 Kyrgyz Republic $1,177.97 70.00 Lao PDR $1,408.28 67.81 Latvia $13,946.97 73.78 Lebanon $9,764.11 79.85 Lesotho $1,134.85 48.84 Liberia $413.76 60.21 Libya $13,302.79 75.18 Lithuania $14,172.28 73.86 Luxembourg $106,022.80 81.39 Macao SAR, China $77,196.14 80.13 Macedonia, FYR $4,548.16 75.03 Madagascar $444.95 64.25 Malawi $266.59 54.72 Malaysia $10,439.96 74.84 Maldives $6,243.84 77.57 Mali $696.18 54.60 Malta $21,129.98 80.75 Mauritania $1,042.82 61.35 Mauritius $8,861.83 73.57 Mexico $9,817.84 77.14 Micronesia, Fed. Sts. $3,154.51 68.85 Moldova $2,046.54 68.69 Mongolia $3,691.05 67.34 Montenegro $6,514.15 74.65 Morocco $2,899.97 70.64 Mozambique $593.29 49.84 Namibia $5,770.31 63.88 Nepal $699.08 67.98 Netherlands $49,128.09 81.10 New Zealand $38,678.41 81.16 Nicaragua $1,776.61 74.47 Niger $385.34 57.97 Nigeria $2,742.22 52.11 Norway $99,635.87 81.45 Oman $23,384.81 76.59 Pakistan $1,252.42 66.44 Panama $9,982.48 77.37 Papua New Guinea $2,184.16 62.30 Paraguay $3,680.23 72.19 Peru $6,423.56 74.52 Philippines $2,587.62 68.55 Poland $12,876.46 76.80 Portugal $20,732.61 80.37 Puerto Rico $27,681.64 78.54 Qatar $92,801.04 78.45 Romania $8,437.43 74.56 Russian Federation $14,090.65 70.46 Rwanda $630.11 63.49 Samoa $4,244.84 72.98 Sao Tome and Principe $1,399.95 66.13 Saudi Arabia $25,945.97 75.50 Senegal $1,023.29 63.20 Serbia $5,666.20 75.23 Seychelles $11,689.29 72.72 Sierra Leone $590.32 45.33 Singapore $54,007.30 82.14 Slovak Republic $17,151.24 76.11 Slovenia $22,488.44 80.12 Solomon Islands $1,801.16 67.51 South Africa $7,313.97 56.10 South Sudan $956.75 54.64 Spain $28,992.64 82.38 Sri Lanka $2,921.74 74.07 St. Lucia $7,202.23 74.67 St. Vincent and the Grenadines $6,338.90 72.40 Sudan $1,697.85 61.86 Suriname $9,378.20 70.81 Swaziland $3,289.71 48.85 Sweden $57,134.08 81.70 Switzerland $83,295.26 82.70 Tajikistan $953.06 67.26 Tanzania $608.85 60.85 Thailand $5,479.76 74.19 Timor-Leste $1,105.35 67.02 Togo $589.46 56.15 Tonga $4,493.72 72.49 Trinidad and Tobago $17,523.30 69.82 Tunisia $4,197.51 75.10 Turkey $10,660.73 74.86 Turkmenistan $6,797.73 65.31 Uganda $551.38 58.65 Ukraine $3,873.45 70.94 United Arab Emirates $40,444.07 76.96 United Kingdom $41,053.74 81.50 United States $51,495.87 78.74 Uruguay $14,727.73 76.91 Uzbekistan $1,719.04 68.10 Vanuatu $3,161.44 71.41 Venezuela, RB $12,728.73 74.49 Vietnam $1,755.27 75.61 West Bank and Gaza $2,782.91 73.02 Yemen, Rep. $1,341.28 62.91 Zambia $1,771.89 57.02 Zimbabwe $908.78 58.05

Question and data are attached as images. Thank you and will give thumbs up! Data is typed below as well.  Non_Stop_Flights one_Stop_flights 1434.9 1556.2 1653.18 1549.33 1617.95 1511.14 1668.19 1497.84 1809.16 1882.04 1641.15 1600.5 1494.61 1699.01 1776.6 1582.12   1894.51   1502.09

A researcher interested in determining if there is an association between head circumference and brain volume tested for linear correlation at the a= 0.05 significance level. She took a random sample of twenty adults and measured the head circumference and brain volume (using ultrasound) for each person in the sample. The table above gives the paired data for the twenty adults. The researcher determined there is positive linear correlation between head circumference and brain volume at the 0.05 level of significance. With that information answer the following questions. 1.) Since we've determined there is linear correlation between head circumference and brain volume from the output on the TI83/84 what is "a" the y-intercept of the regression line? A. a=.508 B. a=34.740 C. a=-110.572 D. a=-823.829 2. Since we've determined there is linear correlation between head circumference and brain volume from the output on the T183/84 what is "b" the slope of the regression? A. b=34.740 B. b=.508…

urgent pleqase

A statistical program is recommended. Is the number of square feet of living space a good predictor of a house's selling price? The following data show the square footage and selling price for fifteen houses in Winston-Salem, North Carolina.† Size(1,000s sq. ft) Selling Price($1,000s) 1.26 117.5 3.02 299.9 1.99 139.0 0.91 45.6 1.87 129.9 2.63 274.9 2.60 259.9 2.27 177.0 2.30 175.0 2.08 189.9 1.12 95.0 1.38 82.1 1.80 169.0 1.57 96.5 1.45 114.9 Find the value of the test statistic. (Round your answer to two decimal places.) ______________________. (d)Use the estimated regression equation to predict the selling price (in $1,000s) of a 2,100 square foot house in Winston-Salem, North Carolina. (Round your answer to one decimal place.) $_____ thousand

Answer the following questions regarding the population of Hamilton County in 2016. a. If you predict the population of Hamilton County in 2016, should you use the average growth rate of 2000-2009 or the average growth rate of 2009-2015? Explain your choice in a complete sentence.  b. Predict the population of Hamilton Country in 2016. Show your work. Express your answer in “thousand people” rounded to the nearest whole number.

Mag    Depth 2.96     19.9 2.73     6.5 1.46     3.5 0.85     13.3 2.95     19.9 1.63     8.7 1.92     18.4 1.12     7.9 2.59     3.1 1.68     9.4 0.14     6.2 2.43     17.7 0.04     18.4 1.03     9.8 2.89     12.4 0.54     9.5 0.77     2.1 1.87     8.1 2.72     17.3 0.84     9.9 1.48     12.7 0.68     7.1 1.83     17.1 1.89     3.4 0.94     13.8 2.24     5.7 0.94     16.7 1.36     5.2 0.98     6.6 0.51     12.5 2.69     14.1 1.73     12.5 2.29     12.7 1.63     14.7 0.52     18.6 2.75     4.5 2.31     10.5 1.39     13.3 2.05     10.5 0.63     5.7 1.15     3.6 1.59     2.9 2.92     11.3 0.33     6.4 2.78     9.2 1.43     4.8 0.82     4.8 0.21     13.6 1.77     12.3 0.68     4.9 1) Check Image 2) Given that the earthquake has a magnitude of 1.1, the best predicted depth is     km. ​(Round to one decimal place as​ needed.)

Find the LU factorization of and use it to solve the system A = -4 16 10 -2 -2 2 -2 2 -3 6 -9 -5 -7 X2 10-0 -4 -7 -10 -22 2 6 -9 -5 -7 -4 16 1 -4 10 -7 -10 -22 A = LU 4 = -13 32 -14

1.What is the Prevalence as a decimal for college 1 (box a)?Round to the nearest hundredth. 2. which ONE college experienced the highest influenza rate during last year's flu season? 3.what percentage of students had the flu at the college that experienced the highest influenza rate during last year's flu season?Round to the nearest one hundredth

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