1. According to the following graphic, X and Y have _________. strong negative correlation virtually no correlation strong positive correlation moderate negative correlation weak negative correlation 2. A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a function of batch size (the number of boards produced in one lot or batch). The dependent variable is ______. 3. A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch). The intercept of this model is the ______. 4. If x and y in a regression model are totally unrelated, _______. 5. A manager wishes to predict the annual cost (y) of an automobile based on the number of miles (x) driven. The following model was developed: y= 1,550 + 0.36x. If a car is driven 15,000 miles, the predicted cost is ____________. 6. A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch), production plant (Kingsland, and Yorktown), and production shift (day, and evening). In this model, "shift" is ______. 7. A multiple regression analysis produced the following tables. The regression equation for this analysis is ____________. 8. A multiple regression analysis produced the following tables. These results indicate that ____________. 9. A real estate appraiser is developing a regression model to predict the market value of single family residential houses as a function of heated area, number of bedrooms, number of bathrooms, age of the house, and central heating (yes, no). The response variable in this model is _______. 10. In regression analysis, outliers may be identified by examining the ________.
The air in a room with volume 180 m3 contains 0.35% carbon dioxide initially. Fresher air with only 0.05% carbon dioxide flows into the room at a rate of 2 m3/min and the mixed air flows out at the same rate. Find the percentage of carbon dioxide in the room as a function of time t (in minutes). p(t) = What happens with the percentage of carbon dioxide in the room in the long run? lim t ? ? p(t)?= [removed] %
- Solve 4 Differential Equations a. Compartmental Analysis b. Mathematical Models "Heating and Cooling" . - Solve - Broken Down in the most simplistic manner not skipping any steps - Need by 10AM Sunday Morning Eastern Time or Earlier - If you are not fluid in Differential Equations please do not take the task
