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More about Correlation

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Title: More about Correlation


1
More about Correlation
2
Basketball Players
  • A class of 15 students happens to include 5
    basketball players.
  • True or false, and explain the relationship
    between heights and weights for this class should
    be summarized by r.

3
Use the Correlation Coefficient?
4
Nonlinear Association
5
Exceptional Cases
  • The correlation coefficient r is less useful in
    case there are outliers.
  • Moreover, r measures linear association, not
    association in general.

6
Ecological Correlation
  • In one study, a scatter diagram was shown showing
    the relationship between the rate of smoking per
    capita and the rate of deaths from lung cancer in
    eleven countries.
  • The correlation between these eleven pairs of
    rates was 0.7.
  • Comment on this data.

7
Ecological Correlation
  • Correlations based on rates or averages can be
    misleading.
  • For example in each country, there is a lot of
    spread around the averages.
  • Replacing the people by the countrys average
    eliminates the spread, and gives the misleading
    impression of tight clustering.

8
Example
9
Suicide and Literacy
  • A sociologist is studying the relationship
    between suicide and literacy in
    nineteenth-century Italy. He has data for each
    province. The correlation is 0.6.
  • Does this give a fair estimate of the strength of
    the association between literacy and suicide?

10
Association is not Causation
  • For school children, shoe size is strongly
    correlated with reading skills.
  • In the Great Depression, better educated people
    tended to have shorter spells of unemployment.
    Does education protect you against unemployment?

11
Reading and the TV
  • Studies have found a negative association between
    hours spent watching television and scores on
    reading tests.
  • Does watching television make people less able to
    read?

12
Fat in the Diet and Cancer
13
True or False?
  • If r -0.80, below average values of the
    dependent variable are associated with
    below-average values of the independent variable.
  • If y is usually less than x, the correlation
    coefficient between x and y will be negative.

14
Height and Weight, Again
  • An investigator collected data on heights and
    weights of college students.
  • Suppose the correlation coefficient between
    height and weight for the men was about 0.60 for
    the women, about the same.
  • What happens to the correlation coefficient if
    you take the men and women together?

15
Math SAT scores
  • ETS computed the average score for each of the 51
    states, and the percentage of the high-school
    seniors in that state who took the test. The
    correlation between these two variables was equal
    to 0.86.
  • True or false test scores tend to be lower in
    the states were a higher percentage take the test.

16
Math SAT scores
  • In New York, the average score was only 471 in
    Wyoming, the average was 507.
  • True or false the data show that on average, the
    schools in W. are doing a better job at teaching
    math than the schools in NY.

17
Verbal SAT
  • ETS computed the average Verbal SAT score for
    each state, as well as the average Math SAT
    score. The correlation between these 51 pairs of
    averages was 0.97. Would the correlation between
    the Math SAT and Verbal SAT computed from the
    data on all the individual test takers be larger
    than 0.97, about 0.97, or less than 0.97?
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