Question: 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


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: Coefcients Standard Error tStat Pvalue Lower 95% UM 95% Intercept 240078619 111431218? 21.54501 5.71E-19 217.2529? 262.9042? Temgrature 1C! 57269628 0534087664 40.7229 2.02E-11 6.8209918 4.632934 We want to conduct a hypothesis test to determine the linear relationship between the electricity consumption and temperature. Which of the following is the correct p- value? Select one: 0 2.86E-19 O 4.04E-11 O 5.71 E19 0 2.02E-11 O 1.01 E-11 Check
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