calculate the Pearson product-moment correlations between at least two sets of variables in the Happiness and Engagement Dataset. Perform one correlation between two dependent variables. Perform the second correlation on an independent variable and the dependent variable OR between a different set of two dependent variables  Calculate the Pearson product-moment correlations between the two sets of variables in your data set. Describe the correlations and their strength and direction.

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Hello I need help with this one, 

calculate the Pearson product-moment correlations between at least two sets of variables in the Happiness and Engagement Dataset.

Perform one correlation between two dependent variables.

Perform the second correlation on an independent variable and the dependent variable OR between a different set of two dependent variables 

Calculate the Pearson product-moment correlations between the two sets of variables in your data set. Describe the correlations and their strength and direction.

 

Gender Age
1
2
1
1
1
2
2
1
1
2
2
2
2
2
1
1
1
2
2
1
1
1
2
1
2
2
1
2
NNN
2
2
1
2
1
1
1
1
2
2
TELIN
1
2
1
1
2
29
32
39
25
27
33
36
28
34
32
31
38
27
29
26
39
40
37
37
29
29
30
36
30
30
35
27
31
38
38
34
28
29
32
35
35
37
29
40
27
27
34
34
Supervisor
1
4
1
2
1
3
3
3
3
2
1
1
3
4
4
4
1
2
3
3
3
2
3
3
2
4
3
2
1
3
2
3
2
4
2
3
2
3
4
4
2
1
1
Telecommute
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
2
1
1
1
1
1
~~
2
2
2
1
1
1
1
1
1
1
2
Coworkers
2
3
1
2
1
2
2
3
3
2
1
1
C
2
2
2
3
1
1
2
2
2
1
3
2
2
2
3
uu
3
2
2
1
2
2
2
3
2
2
2
2
1
1
2
1
Happiness
7
9
4
5
5
7
8
9
8
6
7
6
7
8
8
9
6
7
9
7
9
6
9
7
8
∞000 60 005
8
9
8
8
9
7
8
9
7
8
8
9
8
4
8
7
Engagement
8
10
5
8
4
8
7
8
8
8
0000 aa
5
8
9
9
00 00 00 00
8
8
8
9
7
8
7
7
9
7
7
∞0 00 00 00 00 00 x
8
9
8
8
8
6
9
8
8
9
79∞∞016 N
8
8
7
5
Overall Rating
15
פפפפפפ
19
8
13
9
15
15
17
16
14
12
14
16
ANA
ܗ ܢ ܗ ܢ ܥ ܗ ܗ ܩ ܗ ܚ
17
16
17
14
16
16
15
16
13
18
45
14
15
16
636uun85 6847675052
18
16
14
16
11
18
15
16
18
14
17
16
17
15
10
15
12
Transcribed Image Text:Gender Age 1 2 1 1 1 2 2 1 1 2 2 2 2 2 1 1 1 2 2 1 1 1 2 1 2 2 1 2 NNN 2 2 1 2 1 1 1 1 2 2 TELIN 1 2 1 1 2 29 32 39 25 27 33 36 28 34 32 31 38 27 29 26 39 40 37 37 29 29 30 36 30 30 35 27 31 38 38 34 28 29 32 35 35 37 29 40 27 27 34 34 Supervisor 1 4 1 2 1 3 3 3 3 2 1 1 3 4 4 4 1 2 3 3 3 2 3 3 2 4 3 2 1 3 2 3 2 4 2 3 2 3 4 4 2 1 1 Telecommute 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 ~~ 2 2 2 1 1 1 1 1 1 1 2 Coworkers 2 3 1 2 1 2 2 3 3 2 1 1 C 2 2 2 3 1 1 2 2 2 1 3 2 2 2 3 uu 3 2 2 1 2 2 2 3 2 2 2 2 1 1 2 1 Happiness 7 9 4 5 5 7 8 9 8 6 7 6 7 8 8 9 6 7 9 7 9 6 9 7 8 ∞000 60 005 8 9 8 8 9 7 8 9 7 8 8 9 8 4 8 7 Engagement 8 10 5 8 4 8 7 8 8 8 0000 aa 5 8 9 9 00 00 00 00 8 8 8 9 7 8 7 7 9 7 7 ∞0 00 00 00 00 00 x 8 9 8 8 8 6 9 8 8 9 79∞∞016 N 8 8 7 5 Overall Rating 15 פפפפפפ 19 8 13 9 15 15 17 16 14 12 14 16 ANA ܗ ܢ ܗ ܢ ܥ ܗ ܗ ܩ ܗ ܚ 17 16 17 14 16 16 15 16 13 18 45 14 15 16 636uun85 6847675052 18 16 14 16 11 18 15 16 18 14 17 16 17 15 10 15 12
44
45
46
47
48
49
50
51
52
122HNNNN
34
25
25
29
30
30
35
34
1
2
1
2
3
324
2
2
1
1
1
1
2
1
1
2
1
2
2
2
1
3
7
9
5
8
9
7
69
5
8 6 898 69
12
17
11
16
18
15
12
18
Transcribed Image Text:44 45 46 47 48 49 50 51 52 122HNNNN 34 25 25 29 30 30 35 34 1 2 1 2 3 324 2 2 1 1 1 1 2 1 1 2 1 2 2 2 1 3 7 9 5 8 9 7 69 5 8 6 898 69 12 17 11 16 18 15 12 18
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