1. Fill in the blank: For these data, distances from the beach that aregreater than the mean of the distances from the beach tend to bepaired with house prices that areChoose onethe mean of the house prices.2. According to the regression equation, for an increase of one mile indistance from the beach, there is a corresponding decrease of howmany thousand dollars in house price?3. From the regression equation, what is the predicted house price (inthousands of dollars) when the distance (in miles) from the beach is10.0 miles? (Round your answer to at least one decimal place.)4. What was the observed house price (in thousands of dollars) whenthe distance (in miles) from the beach was 10.0 miles? With the aim of predicting the selling price of a house in Newburg Park,Florida, from the distance between the house and the beach, we mightexamine a regression equation relating the two variables. In the tablebelow, the distance from the beach (x, in miles) and selling price (y, inthousands of dollars) for each of a sample of fifteen homes sold inNewburg Park in the past year are given. The least-squares regressionequation relating the two variables is î-310.94 – 6.27x. The line having thisequation is plotted in Figure 1.Selling price, y(in thousands ofdollars)Distance fromthe beach, x(in miles)8.6290.712.8198.810.0230.73507.6272.43.6261.530010.4274.812.5267.225015.1183.618.8225.62007.6244.04.3314.01508.2220.86.1311.112.0234.1Figure 110.6205.8Send data to ExcelBased on the above information, answer the following:1. Fill in the blank: For these data, distances from the beach that aregreater than the mean of the distances from the beach tend to bepaired with house prices that areChoose onethe mean of the house prices.2. According to the regression equation, for an increase of one mile indistance from the beach, there is a corresponding decrease of howmany thousand dollars in house price?3. From the regression equation, what is the predicted house price (inthousands of dollars) when the distance (in miles) from the beach is U10.0 miles? (Round your answer to at least one decimal place.)4. What was the observed house price (in thousands of dollars) when Inthe distance (in miles) from the beach was 10.0 miles?

Regression Line y = 310.94 -6.27x

1. Fill in the blank: For these data, distances from the beach that are greater than the mean of the distances from the beach tend to be paired with house prices that are Choose one the mean of the house prices. 2. According to the regression equation, for an increase of one mile in distance from the beach, there is a corresponding decrease of how many thousand dollars in house price? 3. From the regression equation, what is the predicted house price (in thousands of dollars) when the distance (in miles) from the beach is 10.0 miles? (Round your answer to at least one decimal place.) 4. What was the observed house price (in thousands of dollars) when the distance (in miles) from the beach was 10.0 miles?

1. Fill in the blank: For these data, distances from the beach that are greater than the mean of the distances from the beach tend to be paired with house prices that are Choose one the mean of the house prices. 2. According to the regression equation, for an increase of one mile in distance from the beach, there is a corresponding decrease of how many thousand dollars in house price? 3. From the regression equation, what is the predicted house price (in thousands of dollars) when the distance (in miles) from the beach is 10.0 miles? (Round your answer to at least one decimal place.) 4. What was the observed house price (in thousands of dollars) when the distance (in miles) from the beach was 10.0 miles?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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