What other information would you need to be confident that the equation in requirement 2 accurately predicts the cost of manufacturing drink bottles?

A. Does the slope of the regression line indicate that a strong relationship exists between manufacturing costs and the number of drink bottles produced?

B. How good is the goodness of fit? That is, how well does the estimated line fit the data?

C. Can Garcia's competitors manufacture drink bottles at a cost less than Garcia?

D. Is the relationship between total manufacturing costs and quantity of drink bottles economically plausible

Areal estate agent is considering changing her cell phone plan. there are three plans to choose from, all of which involve a monthly service charge of $20. plan a has a cost of $.42 a minute for daytime calls and $.17 a minute for evening calls. plan b has a charge of $.52 a minute for daytime calls and $.15 a minute for evening calls. plan c has a flat rate of $80 with 275 minutes of calls allowed per month and a charge of $.38 per minute beyond that, day or evening. a. determine the total charge under each plan for this case: 150 minutes of day calls and 70 minutes of evening calls in a month. (do not round intermediate calculations. round your answer to 2 decimal places. omit the "$" sign in your response.)c. if the agent will use the service for daytime calls, over what range of call minutes will each plan be optimal? (round each answer to the nearest whole number. include the indifference point itself in each answer.)d. suppose that the agent expects both daytime and evening calls. at what point (i. e., percentage of total call minutes used for daytime calls) would she be indifferent between plans a and b?