Answer 3 questions. Take a picture of your work and submit it by 10:45 - NO EXTENSIONS SUMMARY OUTPUT Regression Statistics Multiple R 0.722134292 R Square 0.521477936 Adjusted R Square 0.441724259 Observations 15 Intercept Woman Experience Coefficients 306.5261933 -24.97508952 74.13095749 Standard Error Stot P-value 114.2538935 2.682851182 0.019931591 10.83212512 2.305650022 0.039788461 25.96731792 2.854779139 0.014493627 Lower 95% 57.58834426 -48.5762627 17.55303206 Upper 95% 555.4640423 -1.373916335 130.7088829 Use the summary output above for the regression that estimates weekly salary dependent on work experience in years) and gender (dummy variable Woman = 1 if a worker is a woman. = 0 otherwise). 1. What is the expected salary for a man with 10 years of experience? Show your work. 2. Is there evidence of gender wage discrimination (women paid less than men)? Explain. 3. Test the null hypothesis Ho: Bwoman = 0 at a 2% significance level. Show your work