This questiоn uses dаtа frоm the 2018 Generаl Sоcial Survey (GSS), a nationally representative survey of adults in the United States. We analyze the following variables: realrinc: the respondent's real (inflation-adjusted) personal income, measured in dollars. male: a binary variable scored 1 if the respondent is male, and 0 if female. The analysis uses the 1,363 respondents with complete data on these variables. Refer to the regression output below to answer the prompts. a) Conduct a formal hypothesis test at the 0.05 significance level to assess whether sex predicts income. State your null and alternative hypotheses, identify the test statistic and p-value from the table, and state your final conclusion. b) What is the R-squared value in this regression output? Explain exactly what this number means in the context of these two variables. Based on this value, how would you describe the strength of the relationship between sex and income?