In: Statistics and Probability
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Fill in the empty cells and the values required in the last row of the table. These values will help you answer subsequent questions and calculate the Pearson’s r and the linear regression equation. (2 decimals)
X |
Y |
()( |
||||
3 |
3 |
-2.00 |
-4.00 |
4.00 |
16.00 |
8.00 |
6 |
9 |
1.00 |
2.00 |
1.00 |
4.00 |
2.00 |
5 |
8 |
0.00 |
1.00 |
0.00 |
1.00 |
0.00 |
4 |
3 |
-1.00 |
-4.00 |
1.00 |
16.00 |
4.00 |
7 |
10 |
2.00 |
3.00 |
4.00 |
9.00 |
6.00 |
5 |
9 |
0.00 |
2.00 |
0.00 |
4.00 |
0.00 |
= 5.00 |
7.00 |
--------------- |
--------------- |
SSx = 10.00 |
SSY = 50.00 |
Sum = 20.00 |
Note: Sum in the last column is .
B. What is the covariance between musical ability and verbal ability? (2 decimals)
COVXY =
C. Page 4 of the Week 12_2 provides a formula for Pearson’s correlation coefficient that allows you to work with sum of squares (SSx and SSY) instead of having to calculate standard deviations sX and sY . Based on the formula, what is the correlation between musical ability and verbal ability? (2 decimals)
r =
D. Use formulas on p.12 of the Week 12_3 slides to answer the following questions.
a. What is the variance of musical ability? (2 decimals; you may write the final value directly)
=
b. What is the slope (b) for the linear equation line? Use p. 6 of the Week 12_3 slides to write one sentence to interpret the slope. Use the variables names (musical ability and verbal ability) instead of X and Y.
b =
Interpretation:
c. What is the intercept (a) for the linear equation line?
a =
d. Write the linear regression equation.
= bX + a =
A.
x(Musical ability) |
y(Verbal ability) |
X=x-xbar |
Y=y-ybar |
(X)^2 |
(Y)^2 |
(X)(Y) |
3 |
3 |
-2 |
-4 |
4 |
16 |
8 |
6 |
9 |
1 |
2 |
1 |
4 |
2 |
5 |
8 |
0 |
1 |
0 |
1 |
0 |
4 |
3 |
-1 |
-4 |
1 |
16 |
4 |
7 |
10 |
2 |
3 |
4 |
9 |
6 |
5 |
9 |
0 |
2 |
0 |
4 |
0 |
Xbar =5 |
Ybar =7 |
S(X)= 0 |
S(Y)=0 |
SS(X)= 10 |
SS(Y)=50 |
S(XY)=20 |
Here, n = 6, Xbar =5, Ybar =7, S(X)= 0, S(Y)=0, SS(X)= 10, SS(Y)=50, S(XY)=20, where, X=x-xbar=x-5 and Y=y-ybar= Y=y-7
B. Now, the covariance between Musical ability and Verbal ability
= cov(x,y) = Sum[(x-xbar)( y-ybar)]/n = S(XY)/n = 20/6 = 3.33
C. Pearson’s correlation coefficient between Musical ability and Verbal ability
= r(x,y)= Sum[(x-xbar)( y-ybar)]/SQRT[Sum(x-xbar)^2* Sum(y-ybar)^2]
= S(XY)/ SQRT[SS(X)* SS(X)] = 20/ SQRT[10* 50]= 20/22.3606 = 0.89
D. a. Variance of musical ability = Sum(x-xbar)^2/n= SS(X)/n = 10/6 =1.67
b. Slope for the linear equation between Musical ability and Verbal ability is
b = regression coefficient of Verbal ability on Musical ability
= Sum[(x-xbar)( y-ybar)]/ Sum(x-xbar)^2 = S(XY)/ss(X) = 20/10 = ½ = 0.5
Interpretation: Since, the slope b is positive then, Verbal ability is positively elated with
Musical ability
c. Intercept of linear equation is a = ybar – b*xbar = 7-0.5*5 = 7-2.5 =4.5
d. The linear regression equation is y = bx+a
y = 0.5x+4.5
verbal ability = 0.5 times the musical ability + 4.5