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Required information Ozone (03) is a major component of air pollution in many cities. Atmospheric ozone levels are influenced by many factors, Including weather. In a study, the relative humidity and ozone levels were measured for 120 days in a city. The MINITAB output follows. Assume that assumptions 1 through 4 for errors in linear models hold. The regression equation is Ozone = 29.70.135 Humidity Predictor SE Coef T P Coef 29.703 Constant 2.066 14.38 0.000 -3.55 0.001 Humidity -0.13468 0.03798 S = 6.26 R-Sq= 9.6% R-Sq(adj) 8.9% What are the slope and Intercept of the least-squares line? The slope of the least-squares line is [ The Intercept of the least-squares line is [ b) Find a 95% confidence interval for the slope. Round the answers to three decimal places. The 95% confidence interval is c) Perform a test of the null hypothesis that the slope is greater than or equal to -0.1. What is the P-value? Because of the large sample size, use the z-table and round the answer to four decimal places. We should [(Click to select) the null hypothesis. We [(Click to select) conclude that the population slope is less than -0.1. d) What is the correlation between relative humidity and ozone level? Round the answer to three decimal places.