The correlation between the number of uninsured in 2006 and 2007 is calculated to be: 0.998067. Can you conclude from the high correlation that the numbers of insured remained approximately the same in 2006 and 2007? More generally, does a high correlation indicate that the response and explanatory variables are similar? O True O False

MATLAB: An Introduction with Applications
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The correlation between the number of uninsured in 2006 and 2007 is calculated to
be: 0.998067.
Can you conclude from the high correlation that the numbers of insured remained
approximately the same in 2006 and 2007? More generally, does a high correlation indicate
that the response and explanatory variables are similar?
O True
O False
Transcribed Image Text:The correlation between the number of uninsured in 2006 and 2007 is calculated to be: 0.998067. Can you conclude from the high correlation that the numbers of insured remained approximately the same in 2006 and 2007? More generally, does a high correlation indicate that the response and explanatory variables are similar? O True O False
Sketch by hand a scatterplot of the number of uninsured people in 2007 (as the response
variable) against the number in 2006 (as the explanatory variable) from the table. Make sure
you include appropriate plot title and axis labels. Describe the 4 features observable from the
scatterplot. Is the age group "65 years and older" an influential observation?
B I UA
를 Ξ
x x, = E
A
12pt
Paragraph
EDE P
fx
Transcribed Image Text:Sketch by hand a scatterplot of the number of uninsured people in 2007 (as the response variable) against the number in 2006 (as the explanatory variable) from the table. Make sure you include appropriate plot title and axis labels. Describe the 4 features observable from the scatterplot. Is the age group "65 years and older" an influential observation? B I UA 를 Ξ x x, = E A 12pt Paragraph EDE P fx
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