The variable # of Influenza Cases in Table 1 located at the end of this question sheet measures the number of influenza cases, in 2019, per 1 million members of the population for a country. This data was collected from the World Health Organization (WHO) website. For this question you are going to choose another variable measured for the countries listed in Table 1 to see whether your chosen variable correlates with the number of influenza cases. Marks will not be allocated according to whether there is correlation present, but whether the data collected is appropriate. For the data to be appropriate the following must hold:

? The data you collect for this question needs to be easily accessible, for us to check, for at least 10 of the countries that are listed in Table 1. This also means that the data must be actual measurements associated with these countries.

? The data you collect must be measured in a year close to 2019 (data collected from the years between 2015 and 2021 are fine). Also, the variable must be in the same units for each of the countries. For example, if you choose a variable that is measured per 10 million members of the population for one country, then you need to also record the data for all other countries in units of per 10 million members of the population.

(a) Briefly describe below the new variable that you have chosen including (i) the units it is measured in and (ii) where you found the data.

(b) At the end of this question sheet you will find Table 1. Enter the values that you have collected for your new variable under the columns called New variable where the new variable value for each country needs to appear in the space provided to the immediate right of the country name.

(c) Enter the data from your completed Table 1, including the data for your new variable, into Excel and make a scatterplot of the two variables making sure that you include appropriate axis labels. Copy and paste this scatterplot into your assignment solutions document. (4 marks)

(d) Using Excel, calculate the correlation between these two variables. What is it equal to and what Excel formula did you use to obtain it?

(e) Provide some brief comments on what you see in the scatterplot and also on what you think the correlation value tells you. For example, does there appear to be a linear relationship between the two variables?

4. The variable # of Influenza Cases in Table 1 located at the end of this question sheet measures the number of influenza cases, in 2019, per 1 million members of the population for a country. This data was collected from the World Health Organization (WHO) website. For this question you are going to choose another variable measured for the countries listed in Table 1 to see whether your chosen variable correlates with the number of influenza cases. Marks will not be allocated according to whether there is correlation present, but whether the data collected is appropriate. For the data to be appropriate the following must hold: . The data you collect for this question needs to be easily accessible, for us to check, for at least 10 of the countries that are listed in Table[1. This also means that the data must be actual measurements associated with these countries. . The data you collect must be measured in a year close to 2019 (data collected from the years between 2015 and 2021 are fine). Also, the variable must be in the same units for each of the countries. For example, if you choose a variable that is measured per 10 million members of the population for one country, then you need to also record the data for all other countries in units of per 10 million members of the population. Complete the following questions. (a) Briefly describe below the new variable that you have chosen including (i) the units it is measured in and (ii) where you found the data. (b) At the end of this question sheet you will find Table 1, Enter the values that you have collected for your new variable under the columns called New variable where the new variable value for each country needs to appear in the space provided to the immediate right of the country name. (4 marks) (c) Enter the data from your completed Table 1, including the data for your new variable, into Excel and create a scatterplot of the two variables making sure that you include appropriate axis labels. Copy and paste this scatterplot into your assignment solutions document. (4 marks) (d) Using Excel, calculate the correlation between these two variables. What is it equal to and what Excel formula did you use to obtain it? (6 marks) (e) Provide some brief comments on what you see in the scatterplot and also on what you think the correlation value tells you. For example, does there appear to be a linear relationship between the two variables? # of Influenza Cases # of Influenza Cases Country New variable Country New variable per 1 mil. per 1 mil. Argentina 2140.74 Pakistan 21.47 Australia 3642.79 Russia 131.99 Brazil 85.47 South Africa 127.76 Canada 1139.89 South Korea 234.99 China 417.44 United Kingdom 625.05 India 35.27 United States 4781.93 Japan 76.75 Uruguay 345.00 Mexico 237.33 Table 1: Number of Influenza Cases for 2019