A real estate developer wishes to predict electricity consumption based on atmospheric temperature. He collected data on 30 houses. Let the variable Electricity consumption be the monthly electricity consumption in kilowatts (kw) for a house and Temperature be the monthly average atmospheric temperature in \"C in the area of the house. Following is the output from a simple linear regression obtained from the collected data: Coefficients Standard Error tStat P-value Lower 95% Um 95% Intercept 240.078619 11.14312187 21.54501 5.71E-19 21725297 26290427 Tememture 1C! 57269628 0534087664 40.7229 2.02E-11 68209918 4632934 We conduct a hypothesis test to determine if a negative linear relationship exists between the electricity consumption and temperature. Which of the following is the correct p-value? Select one: 0 5.71 E19 2.02E11 2.02E-11 2.855E-19 0000 1.01 E11 | Check |