I need help finding 20 pairs of data to calculate the correlation of my hypothesis for my results section, according to the following information for my research report, using the following article find the 20 raw sets of data, Di Crosta A, Ceccato I, Marchetti D, La Malva P, Maiella R, Cannito L, Cipi M, Mammarella N, Palumbo R, Verrocchio MC, Palumbo R, Di Domenico A. Psychological factors and consumer behavior during the COVID-19 pandemic. PLoS One. 2021 Aug 16;16(8):e0256095. doi: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8366984

This example and one of my actual pairs of data (stress) Information that I also need help determining is how it the rest of them should be formatted (What scale is used to measure stress? What instrument was used - was it a survey, a self report etc? What are the units of measurement?)

Hypothesis: Higher levels of stress during COVID-19 would be positively associated with the total cost of purchases on buying online necessities

My plan for analyzing my data is to calculate the anxiety levels and fear in relation to COVID-19 health measures and the e-commerce purchasing sales. Also, Calculate descriptive statistics for each variable separately. For anxiety levels and fear related to COVID-19, I willbe calculating the mean, median, mode, standard deviation, and range. For e-commerce purchasing sales, I willbe calculating mean, median, and range.Calculate the correlation between anxiety levels and fear related to COVID-19. This will help determine if there's a significant relationship between these variables.Calculate the correlation between anxiety levels, fear related to COVID-19, and e-commerce purchasing sales. This will help determine if there's a significant association between anxiety/fear and the desire to purchase essentials online.Conduct a regression analysis with anxiety levels and fear related to COVID-19 as independent variables and e-commerce purchasing sales as the dependent variable. This will help determine the extent to which anxiety and fear predict the desire to purchase essentials online. I will also be comparingthe anxiety levels and fear related to COVID-19 between the two sets of data (online and in-store). This will help understand if there are differences in anxiety levels and fear between consumers who prefer online shopping and those who prefer in-store shopping.If the data permits, conduct a time-series analysis to observe changes in e-commerce purchasing sales over the time period specified. This can help identify any trends or patterns in consumer behavior related to online shopping during the COVID-19 pandemic.