Problem Set 3. Use this information for the next two questions. In one town there is assumed to be a linear relationship between T'v' viewership and number of pizza's ordered per hour. When 20,000 are watching TV. 545 pizza's are ordered. When 250.000 people are watching TV there are 15?? pizza's ordered. Find the linear equation for predicting the number of pizza's ordered from how many.r people are watching TV in 1000's of people. 5. Interpret the slope of this model. a. For every:r one person increase in viewership there is predicted to be an increase in the number of pizza's ordered of 4. b. For every.r 1000 pizza increase there are expected to be 4 more people watching W. C. For everv thousand person increase in viewership there is predicted to be an increase in the number of pizza's ordered of 4. d. For everv thousand person increase in viewership there is predicted to be less than one extra pizza ordered. e. For everv 1 person increase in viewership there is predicted to be an increase in the number of pizza's ordered of 223. I". Interpret the vintercept of this model. a. When no pizzas are being ordered 456,000 people are watching W. b. When no one is watching TV, there are predicted to be 425 pizza's sold. This isn't interpretable since people are alwavs watching TV. When no pizzas are ordered, 10,000 people are watching TV. d. If no people are watching W, 456 pizzas will be ordered. e. If no people are watching TV, 545 pizzas will be ordered. E"I