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Dropdown 1: 350 and 370
Dropdown 2: Strong Negative
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Difficulty:
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(hard)
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54%
(02:10)
correct 46%
(02:27)
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In Country X, a building is in Category A if it has a roof height of at least 350 meters. In the graph, each of the 22 Category A buildings is represented by two points arranged vertically: one representing the comparison of the height of the building’s roof to the number of floors (red circles), the other representing the comparison of the height of the building’s roof to the mean height per floor (black squares).
Based on the given information, use the drop-down menus to most accurately complete the following statements about Category A buildings in Country X.
The building with the greatest mean height per floor has a roof height between meters.
There is a correlation between the number of floors and the mean height per floor.
The building with the greatest mean height per floor has a roof height between___________meters.
The building with the greatest mean height per floor is represented by the uppermost black square on the graph. The horizontal coordinate of this square indicates that the roof height of the building is between 350 and 370 meters.
The correct answer is 350 and 370.
There is a____________correlation between the number of floors and the mean height per floor.
Where the red circles are in the upper portions of the graph, the corresponding black squares are generally in the lower regions. Similarly, where the red circles are in the lower portions of the graph, the corresponding black squares are generally in the upper regions. This demonstrates a strong negative correlation between the variable represented by the vertical coordinates of the red circles and the variable represented by the vertical coordinates of the black squares. Thus there is a strong negative correlation between the number of floors and the mean height per floor.
The first blank is relatively easy to answer, the topmost black square lies between the points 350 and 370 on the axis representing heights of roofs.
For the second blank, one could eyeball the graph to see that as the red circles increase in height, the black squares start to descend so a strong negative correlation between the two.
Here's another way to think about the second part of this question:
Take an example of a building with any roof height, let’s say 400 metres.
If the number of floors (black dot) is let’s say 80, then the mean height per floor (red dot) will be simply 400 divided by 80 = 5 metres.
If the number of floors (black dot) is let’s say 50, then the mean height per floor (red dot) will be simply 400 divided by 50 = 8 metres.
So it’s quite clear that there is a very sharp and clear inverse relationship between the black dos and the red dots, i.e., a strong negative correlation.
To answer the first blank: The building with the greatest mean height per floor is represented by the uppermost black square on the graph. The horizontal coordinate of this square indicates that the roof height of the building is between 350 and 370 meters.
To answer the second blank: Now, this is relatively hard to answer. But we know what average is. It's the height of the net building divided by total number of floors. Isn't it? From the formula itself, we can determine that there is a negative correlation between number of floors and height of the building.
We can see there is a positive correlation between the number of floors and height of the building’s roof, and there is a negative correlation between height of the building’s roof and the mean height per floor. Can I say it's a negative relationship between the number of floors and the mean height per floor?
1. The building with the greatest mean height per floor has a roof height between [350 and 370] meters.
2. There is a [Strong Negative] correlation between the number of floors and the mean height per floor.
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Hi I have a quick question, I read somewhere that we remove outliers from the data and then compare correlation. If we remove the two black dots in top left of the graph. there seems to be no correlation b/w # of floors and mean hight per floor. So should we remove the outliers or not?