ind the vanance/covarnance matru for the follourng data set ent | Algebra | Combinatorics | Analysis 90 80 90 30 60 30

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Title: Calculating the Variance/Covariance Matrix for a Data Set

---

## Data Set

The table below presents scores from five students across three subjects: Algebra, Combinatorics, and Analysis.

| Student | Algebra | Combinatorics | Analysis |
|---------|---------|---------------|----------|
| 1       | 90      | 80            | 90       |
| 2       | 30      | 60            | 30       |
| 3       | 60      | 60            | 50       |
| 4       | 90      | 60            | 30       |
| 5       | 40      | 70            | 40       |

## Objective

The task is to determine the variance/covariance matrix for the data set provided.

The variance/covariance matrix is a statistical measure that helps analyze the relationships and variations between different data sets—in this case, the scores in the three subjects. Each element in the matrix represents the covariance between two different subjects or the variance within one subject.
Transcribed Image Text:Title: Calculating the Variance/Covariance Matrix for a Data Set --- ## Data Set The table below presents scores from five students across three subjects: Algebra, Combinatorics, and Analysis. | Student | Algebra | Combinatorics | Analysis | |---------|---------|---------------|----------| | 1 | 90 | 80 | 90 | | 2 | 30 | 60 | 30 | | 3 | 60 | 60 | 50 | | 4 | 90 | 60 | 30 | | 5 | 40 | 70 | 40 | ## Objective The task is to determine the variance/covariance matrix for the data set provided. The variance/covariance matrix is a statistical measure that helps analyze the relationships and variations between different data sets—in this case, the scores in the three subjects. Each element in the matrix represents the covariance between two different subjects or the variance within one subject.
Expert Solution
Step 1
  90 80 90
  30 60 30
  60 60 50
  90 60 30
  40 70 40
Variance, from Excel function 770 80 620

Correlations, from Excel function:

Corr(Algebra, Combinatorics)=0.3225=CORREL(E1:E5,F1:F5)

Corr(Algebra, Analysis)=0.5138=CORREL(E1:E5,G1:G5)

Corr(Combinatorics, Analysis)=0.8531=CORREL(F1:F5,G1:G5)

Corr(Algebra, Algebra)=1=CORREL(E1:E5,E1:E5)

Corr(Analysis, Analysis)=1=CORREL(G1:G5,G1:G5)

Corr(Combinatorics, Combinatorics)=1=CORREL(F1:F5,F1:F5)

 

 

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