(Linear Models MC)Data collected from real estate agents wer…

(Linear Models MC)Data collected from real estate agents were used to calculate the model ŷ = 87x + 108,620, where x represents the size of a house in square feet and ŷ represents the predicted selling price of the house in dollars. Using the model, predict the size of a house that sells for $375,000.

(Interpreting Data Distributions HC)Data were gathered and d…

(Interpreting Data Distributions HC)Data were gathered and displayed in the stem-and-leaf plot. 1 5 7 7 8 2 0 0 1 2 4 4 5 7 8 9 3 0 1 2 2 2 4 5 8 8 4 1 2 3 4 5 8 9 5 0 1 5 6 6 1 3 9 Key: 1|5 represents 15 Part A: Identify the shape of the distribution. (2 point)Part B: Suppose an outlier is added to the data set. If the resulting mean is higher with the outlier than without, state a possible value of the outlier. Justify the answer. (4 points)Part C: Which measure is more appropriate to use to describe the shape of the distribution? Justify the answer based on the shape of the distribution. (4 points)

(Linear Models MC)A theater manager collected data about tic…

(Linear Models MC)A theater manager collected data about ticket prices and attendance for an upcoming opening night. The results were used to calculate the model ŷ = –3.72x + 540.65, where x represents the selling price in dollars and ŷ represents the predicted number of tickets sold. Interpret the slope of the model in the context of the problem.