Question

In: Statistics and Probability

Do larger universities tend to have more property crime? University crime statistics are affected by a...

Do larger universities tend to have more property crime? University crime statistics are affected by a variety of factors. The surrounding community, accessibility given to outside visitors, and many other factors influence crime rate. Let x be a variable that represents student enrollment (in thousands) on a university campus, and let y be a variable that represents the number of burglaries in a year on the university campus. A random sample of n = 8 universities in California gave the following information about enrollments and annual burglary incidents.

x 10.7 28.0 24.5 14.3 7.5 27.7 16.2 20.1
y 22 74 39 23 15 30 15 25

(b) Use a calculator to verify that Σx = 149.0, Σx2 = 3193.22, Σy = 243, Σy2 = 9985 and Σxy = 5280.8.

Compute r. (Round to 3 decimal places.)

Solutions

Expert Solution

b.

( X) ( Y) X^2 Y^2 X*Y
10.7 22 114.49 484 235.4
28 74 784 5476 2072
24.5 39 600.25 1521 955.5
14.3 23 204.49 529 328.9
7.5 15 56.25 225 112.5
27.7 30 767.29 900 831
16.2 15 262.44 225 243
20.1 25 404.01 625 502.5

calculation procedure for correlation
sum of (x) = ∑x = 149
sum of (y) = ∑y = 243
sum of (x^2)= ∑x^2 = 3193.22
sum of (y^2)= ∑y^2 = 9985
sum of (x*y)= ∑x*y = 5280.8
to caluclate value of r( x,y) = covariance ( x,y ) / sd (x) * sd (y)
covariance ( x,y ) = [ ∑x*y - N *(∑x/N) * (∑y/N) ]/n-1
= 5280.8 - [ 8 * (149/8) * (243/8) ]/8- 1
= 94.366
and now to calculate r( x,y) = 94.366/ (SQRT(1/8*5280.8-(1/8*149)^2) ) * ( SQRT(1/8*5280.8-(1/8*243)^2)
=94.366 / (7.229*18.041)
=0.724
value of correlation is =0.724
coeffcient of determination = r^2 = 0.523
properties of correlation
1. If r = 1 Correlation is called Perfect Positive Correlation
2. If r = -1 Correlation is called Perfect Negative Correlation
3. If r = 0 Correlation is called Zero Correlation
& with above we conclude that correlation ( r ) is = 0.7236> 0 ,perfect positive correlation              

Answer:
r value = 0.724


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