Table 3YiYi - ỹZi - zZi1.-4-213The sample covariance between y and z isThe sample correlation coefficient between y and z isTable 4 shows the observations for x and z and their corresponding deviations from the sample means.Table 4Xịz; - iZi6.1-448-1The sample covariance between x and z isThe sample correlation coefficient between x and z is1.3.1,6.2.5. Table 1Sample MeanX = 5ỹ = 4z = 5Sample VarianceSx 2 = 1Sy2 = 3s2 2 = 13Sample Standard DeviationSx = 1Sy= 1.732Sz = 3.606Table 2 shows the observations for x and y and their corresponding deviations from the sample means.Table 2Xị -i yi - ỹXịyi1.5-24 5-11The sample covariance between x and y isThe sample correlation coefficient between x and y isTable 3 shows the observations for y and z and their corresponding deviations from the sample means.2.

Answered: Table 1 Sample Mean X = 5 ỹ = 4 z = 5…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Table 3
Yi
Yi - ỹ
Zi - z
Zi
1.
-4
-2
1
3
The sample covariance between y and z is
The sample correlation coefficient between y and z is
Table 4 shows the observations for x and z and their corresponding deviations from the sample means.
Table 4
Xị
z; - i
Zi
6.
1
-4
4
8
-1
The sample covariance between x and z is
The sample correlation coefficient between x and z is
1.
3.
1,
6.
2.
5.

Table 1
Sample Mean
X = 5
ỹ = 4
z = 5
Sample Variance
Sx 2 = 1
Sy2 = 3
s2 2 = 13
Sample Standard Deviation
Sx = 1
Sy
= 1.732
Sz = 3.606
Table 2 shows the observations for x and y and their corresponding deviations from the sample means.
Table 2
Xị -i yi - ỹ
Xị
yi
1.
5
-2
4 5
-1
1
The sample covariance between x and y is
The sample correlation coefficient between x and y is
Table 3 shows the observations for y and z and their corresponding deviations from the sample means.
2.

Expert Solution

Step 1

Covariance is a measure which we use in statistics to find the variability in two variables which we use. If two variable varies in the same direction then it is positive covariance. If the variables vary in the opposite direction, then it is negative covariance.

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