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Solved: F. The Regression Equation For The Data Is: Life Expectency 70.69 0.12 People Per TV 1. Identify The Slope And Interpret The Slope In Terms Of Number Of TV Sets And A Person's Life Expectancy

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f. The regression equation for the data is: Life Expectency 70.69 0.12 People Per TV 1. identify the slope and interpret the



f. The regression equation for the data is: Life Expectency 70.69 0.12 People Per TV 1. identify the slope and interpret the slope in terms of number of TV sets and a person's life expectancy in a complete sentence What, if anything, do we learn from the intercept? 3. According to this model, what should the life expectancy of a person be in a country that has 100 people per TV? How about 1 person per TV? ic 17 Suppose that the typical work schedule for the wait staff at Sam's BBQ Shack, which is open 7 days a week, is five days Sunday. Assume that any day of the week is equally likely to be a day off is independent. on Monday and ends day off and selection of a with two days off each week. A week begins on on What is the probability that Isaac, a waiter at Sam's BBQ Shack, which is open 7 days a week, will have Saturday or Sunday off? Show you work and round to the nearest tenth of a percent b. State the complement of the event given in Part a and calculate the probability of the complement. Show you work and round to the nearest tenth of a percent. What is the probability that Isaac will have Saturday and Sunday off? Show you work and round to the nearest tenth of a percent. a. C. [8] A suit of standard playing cars has thirteen cards. Suppose the suit of hearts is thoroughly shuffled and that you have the opportunity to play the following game: You win $10 if you choose the ten or queen of hearts You lose $5 if you choose the jack or king of hearts You will $2 if you choose the five or seven of hearts You lose $10 if you choose the ace of hearts Will it be sensible to play this game?

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7) a) Answer: Since the events Saturday or Sunday off are independent events, using the law of probability Explanation: From the law of probability, For the two independent events, the lawof probabi

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