8)
a)
The given data is cross sectional data.
b)
From the scatterplot (if we ignore the last observation), we can conclude negative correlation between the two variables.
c)
Hence, r = 0.73
The magnitude of the correlation coefficient suggests moderately strong positive correlation between the two variables ie as one variable increases the other also increases and vice versa.
d)
After excluding the Japanese observation,
r = -0.49.
Now, the magnitude of the correlation coefficient suggests negative correlation between the two variables ie as one variable increases the other decreases and vice versa.
11)
a)
The given data is cross sectional data.
b)
From the scatterplot, we can conclude positive correlation between the two variables.
c)
r = 0.925
The magnitude of the correlation coefficient suggests very strong positive correlation between the two variables ie as one variable increases the other also increases and vice versa.
d)
After excluding the Tokyo observation,
r = 0.96
The magnitude of the correlation coefficient suggests very strong positive correlation between the two variables ie as one variable increases the other also increases and vice versa.
There is no change in the direction of correlation after excluding the Tokyo observation.
PS: We are only allowed to answer 4 parts per question.
Step by step please. 11 In the table below, P denotes average property prices and S...
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