Data was gathered from several homes for sale in Cincinnati Ohio, in order to examine the relationship between the size of the house (measured in square feet) and the price of the house (measured in dollars). Suppose you learn the relationship between these variables is linear and positive. When a regression equation is constructed in order to predict the price of a house based on its size, the equation is found to explain 54.7% of the variability in price. This means that within this data set, the correlation, or r, between the house size and house price must be equal to approximately 55. 74. 30.
Data was gathered from several homes for sale in Cincinnati Ohio, in order to examine the relationship between the size of the house (measured in square feet) and the price of the house (measured in dollars). Suppose you learn the relationship between these variables is linear and positive. When a regression equation is constructed in order to predict the price of a house based on its size, the equation is found to explain 54.7% of the variability in price. This means that within this data set, the correlation, or r, between the house size and house price must be equal to approximately 55. 74. 30.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 15PPS
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Question
- Data was gathered from several homes for sale in Cincinnati Ohio, in order to examine the relationship between the size of the house (measured in square feet) and the price of the house (measured in dollars). Suppose you learn the relationship between these variables is linear and positive. When a regression equation is constructed in order to predict the price of a house based on its size, the equation is found to explain 54.7% of the variability in price. This means that within this data set, the
correlation , or r, between the house size and house price must be equal to approximately
- 55.
- 74.
- 30.
- 27.
- 81.
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