Discuss three ways in which errors can arise in developing and executing linear optimization models in business situations, and indicate some of the business consequences of such errors. explain how analytics professionals can to prevent such errors.

Match the following errors with their definitions. a. #name b. #value c. #ref d. 1. when a formula produces output that is too lengthy to fit in the spreadsheet cell 2. when you enter an invalid cell reference in a formula 3. when you type text in cells that accept numeric data 4. when you type in a cell reference that doesn’t exist

How can the temperature of a room be raised by 5degreesf?

Write a program that has a conversation with the user. the program must ask for both strings and numbers as input. the program must ask for at least 4 different inputs from the user. the program must reuse at least 3 inputs in what it displays on the screen. the program must perform some form of arithmetic operation on the numbers the user inputs. turn in your .py file as well as a screenshot of your program's output. include comments in your code to explain how it works an example program run might look like (have fun with this and be creative): ‘what is your name? ’ “josh” ‘, josh. what is your favorite color? ’ “green” ‘mine too. do you also like ice cream? ’ “no” ‘josh, how old are you? ’ “40” ‘ and how many siblings do you have? ’’ “3” ‘that means you are one of 4 kid(s). is green the favorite color of anyone else in your house? ’