HI, I'M HAVING A LITTLE DIFFICULTY WITH THIS GROUP OF QUESTIONS. MY TEACHER IS NOT THE BEST AT EXPLAINING SO CAN YOU EXAMPLE/EXPLAIN HOW TO DO THESE PROBLEMS SO I CAN COMPLETE THEM. (I tried some but I don't know if they are right and they are frustrating me)THESE QUESTIONS ARE BASED ON REGRESSION.

REGRESSION ANALYSIS 1. Some scientists believe that there is an association between the amount of C02 (in parts per million, ppm) in the air and the air temperature (in degrees Celsius). The following regression line is calculated. Temp = 15.3066 + .004 C02 a. Identify the yintercept and interpret it in context. Y = 15.3066, the air temperature b. Identify the slope and interpret it in context. Slope = .004, the amount of C02 in the air c. Predict the room temperature if there is 1200 ppm of C02 in the room. d. If the room temperature is 23 degrees Celsius, can you use the equation to predict the amount of C02 in the room? Explain. e. One ofthe actual data points was (1500, 23]. What is the residual value for this point