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Description Correlation analysis and presenting research findings The students will: test correlation analysis between two variables by using SPSS software or Excel; report their findings properly in a correlation table; conclude and interpret these presented findings. Note: Students can use either primary or secondary data. - For primary data: they can collect few amount of data for two variables. For example, they will first decide variables (e.g., authentic leadership and employee satisfaction); second, prepare survey questionnaire including both variables' items; third, deliver the prepared questionnaires to 20-30 employees, and analyze the correlation between two variables by using the collected data from employees. - For secondary data: Students can get a dataset including 20-30 data for two variables. For instance, these variables could be homes square meters and prices. They can analyze the correlation between square meters and prices of 20-30 homes selected. Description Correlation analysis and presenting research findings The students will: test correlation analysis between two variables by using SPSS software or Excel; report their findings properly in a correlation table; conclude and interpret these presented findings. Note: Students can use either primary or secondary data. - For primary data: they can collect few amount of data for two variables. For example, they will first decide variables (e.g., authentic leadership and employee satisfaction); second, prepare survey questionnaire including both variables' items; third, deliver the prepared questionnaires to 20-30 employees, and analyze the correlation between two variables by using the collected data from employees. - For secondary data: Students can get a dataset including 20-30 data for two variables. For instance, these variables could be homes square meters and prices. They can analyze the correlation between square meters and prices of 20-30 homes selected