If SSR = 54 and SST = 72, compute the coefficient of determination, , and interpret its meaning. 12 = 0.25 (Type an integer or a decimal. Do not round.)

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Please see attached. O.25 is incorrect. 

### Coefficient of Determination Calculation

Given:
- SSR (Sum of Squares for Regression) = 54
- SST (Total Sum of Squares) = 72

**Objective:** Compute the coefficient of determination, \( r^2 \), and interpret its meaning.

**Calculation:**

The formula to calculate \( r^2 \) is:

\[
r^2 = \frac{SSR}{SST}
\]

Substituting the given values:

\[
r^2 = \frac{54}{72}
\]

\[
r^2 = 0.75
\]

**Interpretation:**

The coefficient of determination, \( r^2 = 0.75 \), indicates that 75% of the variability in the dependent variable is explained by the independent variable(s) in the regression model. This suggests a strong relationship between the variables.
Transcribed Image Text:### Coefficient of Determination Calculation Given: - SSR (Sum of Squares for Regression) = 54 - SST (Total Sum of Squares) = 72 **Objective:** Compute the coefficient of determination, \( r^2 \), and interpret its meaning. **Calculation:** The formula to calculate \( r^2 \) is: \[ r^2 = \frac{SSR}{SST} \] Substituting the given values: \[ r^2 = \frac{54}{72} \] \[ r^2 = 0.75 \] **Interpretation:** The coefficient of determination, \( r^2 = 0.75 \), indicates that 75% of the variability in the dependent variable is explained by the independent variable(s) in the regression model. This suggests a strong relationship between the variables.
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