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					         School        Salary Expenses Revenues Winning%    regularsalary
Duke                     1.40      7.40    12.40    90.00          1400000
Michigan State           1.60      6.30    11.00    67.74          1600000
Marquette                1.10      5.80     5.80    66.67          1100000
Kentucky                 1.90      5.60    12.90    64.52          1900000
Syracuse                 0.38      5.60    12.40    65.63           380000   Using salary and revenues
Arkansas                 0.80      5.60    11.10    72.41           800000   Covariance =
Connecticut              1.50      5.50     7.90    90.00          1500000
Texas                    1.30      5.10    12.00    83.33          1300000   Correlation =
Texas A & M              0.63      4.90     6.50    74.07           630000
North Carolina           1.40      4.80    15.00    77.78          1400000   Using regularsalary and revenues
Florida                  1.70      4.60     6.50    80.00          1700000   Covariance =
Iowa                     0.80      4.50    10.50    73.33           800000
Tennessee                0.80      4.50     5.40    77.78           800000   Correlation =
Memphis                  1.20      4.50     5.60    90.32          1200000
Kansas                   1.00      4.30    11.80    75.86          1000000
Oklahoma                 1.00      4.10     6.20    74.07          1000000
Ohio State               0.83      4.10    11.40    85.19           830000   Column B has salary in millions of dolla
Arizona                  0.70      4.10    16.60    63.33           700000   Column F has salary in dollars.
Indiana                  0.78      3.80    11.90    62.96           780000
Wisconsin                0.70      3.80    12.00    65.52           700000   Note covariances and correlations are
Alabama                  1.00      3.70     6.50    60.72          1000000   in both examples. Thus salary and rev
UCLA                     0.91      3.70     7.10    80.65           910000   are positively related.
Washington               0.89      3.20     5.00    82.76           890000
Illinois                 0.70      3.20    11.30    83.33           700000   Covariance is 1.18 when salary is in mi
Pittsburgh               0.49      3.20     7.80    79.31           490000   Multiply this by a million when salary is
California               0.85      3.10     6.00    67.86           850000   exactly as it is. Thus covariance chang
West Virginia            0.70      3.10     4.90    66.67           700000   you change the units of measure. This
Florida State            0.74      2.90     6.80    67.86           740000   weakness of covariance as a measure
San Diego State          0.36      2.60     2.60    73.33           360000   Strength. The correlation coefficient do
Villanova                0.51      2.60     4.20    89.29           510000   change and is thus a better measure of
Boston College           0.53      2.50     3.40    80.00           530000   Correlation = .61 (rounded) is not real s
North Carolina State     0.90      2.40    11.40    72.41           900000   but not weak either - call it decent!
LSU                      0.72      2.20     4.60    75.86           720000
UAB                      0.60      2.10     1.90    82.14           600000
Wichita State            0.41      2.00     3.10    75.00           410000
Nevada                   0.26      1.70     3.30    83.33           260000
Gonzaga                  0.50      1.60     2.50    90.00           500000
Southern Illinois        0.21      1.30     1.20    68.75           210000
Northern Iowa            0.18      1.20     1.20    71.88           180000
Montana                  0.12      1.10     1.30    79.31           120000
Delaware State           0.19      0.91     0.91    61.29           190000
UNC Wilmington           0.17      0.90     0.44    78.13           170000
Albany                   0.11      0.78     0.16    66.67           110000
Winthrop                 0.20      0.74     0.52    76.67           200000
Northwestern State       0.76      0.47     0.35    77.42           760000
ng salary and revenues
               1.186283

               0.609165

ng regularsalary and revenues
               1186283

               0.609165



umn B has salary in millions of dollars
umn F has salary in dollars.

e covariances and correlations are positive
oth examples. Thus salary and revenue
positively related.

variance is 1.18 when salary is in millions.
 tiply this by a million when salary is listed
 ctly as it is. Thus covariance changes as
  change the units of measure. This is a
akness of covariance as a measure
ength. The correlation coefficient does not
 nge and is thus a better measure of strength.
 relation = .61 (rounded) is not real strong,
 not weak either - call it decent!