Figure 1 reports a scatter plot of hhinc (horizontal axis) and size (vertical axis). Do you see any correlation in the data? Can you conclude that a higher net income causes a higher home size?

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Figure 1 reports a scatter plot of hhinc (horizontal axis) and size (vertical axis). Do
you see any correlation in the data? Can you conclude that a higher net income
causes a higher home size?

The questions below are based on a dataset containing the characteristics of 5,407
households. In particular, we will use the following variables:
- size: home size, measured in square feet.
- hhinc: annual household net income, measured in euros.
- owner. dummy variable equal to 1 if the living space is owned, and 0 if the living
space is rented.
- hhsize1: dummy variable equal to 1 if the number of household's members is 1 or
2, and 0 otherwise.
hhsize2: dummy variable equal to 1 if the number of household's members is 3 or
4, and 0 otherwise.
hhsize3: dummy variable equal to 1 if the number of household's members is 5 or
above 5, and 0 otherwise.
- edu: education level of household's members.
The Appendix contains tables with the critical values of the standard normal distribution and
the F distribution.
Transcribed Image Text:The questions below are based on a dataset containing the characteristics of 5,407 households. In particular, we will use the following variables: - size: home size, measured in square feet. - hhinc: annual household net income, measured in euros. - owner. dummy variable equal to 1 if the living space is owned, and 0 if the living space is rented. - hhsize1: dummy variable equal to 1 if the number of household's members is 1 or 2, and 0 otherwise. hhsize2: dummy variable equal to 1 if the number of household's members is 3 or 4, and 0 otherwise. hhsize3: dummy variable equal to 1 if the number of household's members is 5 or above 5, and 0 otherwise. - edu: education level of household's members. The Appendix contains tables with the critical values of the standard normal distribution and the F distribution.
100000
200000
400000
300000
hhine
500000
Figure 1
000s
000
000€
0002
000L
Transcribed Image Text:100000 200000 400000 300000 hhine 500000 Figure 1 000s 000 000€ 0002 000L
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