Thursday, November 17, 2011

Re: (VU-Study-Corner) STA 301

 

 

X

Y

X2

XY

Ŷ=a+bX

Y-

(Y-Ŷ)2

17.5

35

306.25

612.5

43.962

-8.962

80.317444

18.2

37

342.25

673.4

43.8184

-11.8184

139.6745786

19.2

39

380.25

760.5

44.7248

-5.7248

32.77333504

21

35

441

735

46.0844

-11.0844

122.8639234

25

55

625

1375

49.71

5.29

27.9841

26

49

676

1274

50.6164

-1.6164

2.61274896

28

74

784

2072

52.4292

21.5708

465.2994126

30

60

900

1800

54.242

5.758

33.154564

35

80

1225

2800

58.774

21.226

450.543076

40

60

1600

2400

63.756

-3.756

14.107536

50

55

2500

2750

72.37

-17.37

301.7169

=310.2

=579

2=9779.75

=17263.5

……

 

1671.047634

ii. Standard error of estimate for this line.

iii. By using the line, estimate the value of weights at the age of 55.

iv. Check, is there significant relation between ages and weights?

Answer:

Draw Table of X2 and XY

 

i)Simple regression line age on weight

Age on weight mean X on Y so we can say it Regression line as X on Y now, the formula is X = a + bY

   b=

  b=

  b=

  b=

  b=0.9064

               a=

                = = =52.64

               = = =28.23

              a =  -b

             a = 52.64- (0.9064*28.23)

             a = 52.64-25.59

             a= 27.05

ii . Standard error of estimate for this line.

Sy.x =

         =

        =

        =13.63

ly g sima 

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