Module 3 Statistics notes, Exercises of Statistics

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Module 3 (Correlation and Regression)
Tutorial Sheet
1.) Random variables X and Y follow a joint distribution
๐‘“(๐‘ฅ,๐‘ฆ)= {2, 0 < ๐‘ฅ โ‰ค ๐‘ฆ < 1,
0, ๐‘œ๐‘กโ„Ž๐‘’๐‘Ÿ๐‘ค๐‘–๐‘ ๐‘’.
Determine the correlation coefficient between X and Y.
2.) The joint probability distribution of (X,Y) is given below.
X\Y
1
3
5
2
0.10
0.20
0.10
4
0.15
0.30
0.15
Determine the correlation coefficient between ๐‘‹ and ๐‘Œ.
3.) Two judges at a college homecoming parade rank eight floats in the following order:
Float
2
4
5
7
8
Judge
A
8
3
6
7
1
Judge
B
5
2
8
6
3
Calculate the rank correlation coefficient.
4.) The following table gives the recorded grades for 10 students on a midterm test and the
final examination in a calculus course:
Student
Mid-term Test
Final Examination
A.B.
84
73
B.C.
98
63
C.D.
91
87
D.E.
72
66
E.F.
86
78
F.G.
93
78
G.H.
80
91
H.I.
0
0
I.J.
92
88
J.K.
87
77
Calculate the rank correlation coefficient.
5.) Find the two lines of regression and coefficient of correlation for the data given below.
๐‘ = 18, โˆ‘๐‘ฅ = 12, โˆ‘๐‘ฆ = 18, โˆ‘๐‘ฅ2=60, โˆ‘๐‘ฆ2=96 and โˆ‘๐‘ฅ๐‘ฆ =48.
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Module 3 (Correlation and Regression) Tutorial Sheet 1.) Random variables X and Y follow a joint distribution ๐‘“(๐‘ฅ, ๐‘ฆ) = {

Determine the correlation coefficient between X and Y. 2.) The joint probability distribution of (X,Y) is given below. X\Y 1 3 5 2 0.10 0.20 0. 4 0.15 0.30 0. Determine the correlation coefficient between ๐‘‹ and ๐‘Œ. 3.) Two judges at a college homecoming parade rank eight floats in the following order: Float 1 2 3 4 5 6 7 8 Judge A

Judge B

Calculate the rank correlation coefficient. 4.) The following table gives the recorded grades for 10 students on a midterm test and the final examination in a calculus course: Student Mid-term Test Final Examination A.B. 84 73 B.C. 98 63 C.D. 91 87 D.E. 72 66 E.F. 86 78 F.G. 93 78 G.H. 80 91 H.I. 0 0 I.J. 92 88 J.K. 87 77 Calculate the rank correlation coefficient. 5.) Find the two lines of regression and coefficient of correlation for the data given below. ๐‘ = 18 , โˆ‘^ ๐‘ฅ = 12 , โˆ‘^ ๐‘ฆ = 18 , โˆ‘^ ๐‘ฅ^2 = 60 , โˆ‘^ ๐‘ฆ^2 = 96 and โˆ‘^ ๐‘ฅ๐‘ฆ = 48.

6.) The correlation coefficient between two variables x and y is r = 0.6. If ๐œŽ๐‘ฅ = 1. 5 , ๐œŽ๐‘ฆ = 2. 0 , ๐‘ฅฬ… = 10 , ๐‘ฆฬ… = 20. Find the regression lines of (a) y on x (b) x on y 7.) Estimate the blood pressure of a cricketer whose age is 45 from the following data. Name A B C D E F Age (X) 40 42 48 35 56 51 BP (Y) 90 93 102 85 105 99 8.) Let X and Y are independent RVs with means 4 and 8 and standard deviations โˆš 5 and โˆš^10 respectively. Obtain the correlation coefficient between S and T, where S=2X-4Y and T=3X+2Y. 9.) Consider the following data of X and Y. X 5 10 15 20 25 Y 24 25 23 20 30 Obtain (i) The equations of lines of regression (ii) Correlation coefficient between X and Y. 10.) The equations of lines of regression are given by 4x+8y-20=0 and 8x+12y-32=0 and variance of X is 12. Compute the following. (i) Correlation coefficient of X and Y (ii) The most appropriate value of x when y = 8 11.) From the data relating to the yield of dry bark (X1), height (X2) and girth (X3) for 18 cinchona plants, the following correlation coefficients were obtained: ๐œŒ 12 = 0. 77 , ๐œŒ 13 = 0. 72 and ๐œŒ 23 = 0. 52. Find the partial correlation coefficients ๐œŒ 12. 3 , ๐œŒ 23. 1 and ๐œŒ 13. 2. 12.) From the data relating to the yield of dry bark (X1), height (X2) and girth (X3) for 18 cinchona plants, the following correlation coefficients were obtained: ๐œŒ 12 = 0. 77 , ๐œŒ 13 = 0. 72 and ๐œŒ 23 = 0. 52. Find the multiple correlation coefficients ๐‘… 1. 23 , ๐‘… 2. 13 and ๐‘… 3. 12. 13.) In a tri-variate distribution, the standard deviations and correlation coefficients are given: ๐œŽ 1 = 2 , ๐œŽ 2 = 3 , ๐œŽ 3 = 3 , ๐œŒ 12 = 0. 7 , ๐œŒ 13 = 0. 5 and ๐œŒ 23 = 0. 5. Find the multiple regression. 14.) Find the regression equation of ๐‘‹ 1 on ๐‘‹ 2 and ๐‘‹ 3 from the data: Trait Mean Standard deviation

๐‘‹ 2 4.91^ 1.10^ - 0.