| ( X) | ( Y) | X^2 | Y^2 | X*Y |
| 24.9 | 33741 | 620.01 | 1138455081 | 840150.9 |
| 29.6 | 29369 | 876.16 | 862538161 | 869322.4 |
| 26.7 | 24671 | 712.89 | 608658241 | 658715.7 |
| 24.4 | 28955 | 595.36 | 838392025 | 706502 |
| 17.6 | 29984 | 309.76 | 899040256 | 527718.4 |
calculation procedure for correlation
sum of (x) = 123.2
sum of (y) = 146720
sum of (x^2) = 3114.18
sum of (y^2) = 4347083764
sum of (x*y) = 3602409.4
to calculate value of r( x,y) = co-variance ( x,y ) / sd (x) * sd
(y)
co-variance ( x,y ) = [ sum (x*y - N *(sum (x/N) * (sum (y/N)
]/n-1
= 3602409.4 - [ 5 * (123.2/5) * (146720/5) ]/5- 1
= -2554.28
and now to calculate r( x,y) = -2554.28/
(SQRT(1/5*3602409.4-(1/5*123.2)^2) ) * (
SQRT(1/5*3602409.4-(1/5*146720)^2)
=-2554.28 / (3.9631*2889.0166)
=-0.2231
value of correlation is =-0.2231
----------------------------------------------------------------------------------------
Given that,
value of r =-0.2231
number (n)=5
null, Ho: row(ρ) =0
alternate, H1: row(ρ)<0
level of significance, alpha = 0.05
from standard normal table,left tailed t alpha/2 =2.353
since our test is left-tailed
reject Ho, if to < -2.353
we use test statistic (t) = r / sqrt(1-r^2/(n-2))
to=-0.2231/(sqrt( ( 1--0.2231^2 )/(5-2) )
to =-0.396
|to | =0.396
critical value
the value of |t alpha| at los 0.05% is 2.353
we got |to| =0.396 & | t alpha | =2.353
make decision
hence value of |to | < | t alpha | and here we do not reject
Ho
----------------------------------------------------------------------------------------
[ANSWERS]
Ho: row(ρ) = 0 H1: row(ρ)<0
test statistic: -0.396
reject Ho, if rs < -2.353
do not reject Ho, there is not sufficient evidence to support the
claim
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