Read the following description of a data set. Charles's landscape architecture firm won a contract to design a new public playground in Seville. To decide how many swings to include, Charles collected information about other playgrounds in the city. For each playground, he recorded the area (in square metres), x, and the number of swings, y. The least squares regression line of this data set is: y = 0.106x + 6.784 Complete the following sentence: For each additional square metre of area, the least squares regression line predicts that a playground would have more swings.

MATLAB: An Introduction with Applications
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Read the following description of a data set.
Charles's landscape architecture firm won a contract to design a new public
playground in Seville. To decide how many swings to include, Charles collected
information about other playgrounds in the city.
For each playground, he recorded the area (in square metres), x, and the
number of swings, y.
The least squares regression line of this data set is:
y = 0.106x + 6.784
Complete the following sentence:
For each additional square metre of area, the least squares regression line predicts that a
playground would have
more swings.
Transcribed Image Text:Read the following description of a data set. Charles's landscape architecture firm won a contract to design a new public playground in Seville. To decide how many swings to include, Charles collected information about other playgrounds in the city. For each playground, he recorded the area (in square metres), x, and the number of swings, y. The least squares regression line of this data set is: y = 0.106x + 6.784 Complete the following sentence: For each additional square metre of area, the least squares regression line predicts that a playground would have more swings.
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