The values of SST and SSR are 6724.125 and 6216.375, respectively a. Find SSE (to 2 decimals). b. Compute R² (to 3 decimals). c. Compute R,² (to 3 decimals).
The values of SST and SSR are 6724.125 and 6216.375, respectively a. Find SSE (to 2 decimals). b. Compute R² (to 3 decimals). c. Compute R,² (to 3 decimals).
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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Question
![**Estimated Regression Equation Analysis**
Consider the following estimated regression equation, based on 10 observations:
\[
\hat{y} = 29.1270 + 0.5906x_1 + 4.980x_2
\]
The values of SST (Total Sum of Squares) and SSR (Regression Sum of Squares) are 6724.125 and 6216.375, respectively.
**Tasks:**
a. **Find SSE (Sum of Squared Errors) (to 2 decimals):**
- **Input Box:** [ ]
b. **Compute \( R^2 \) (to 3 decimals):**
- **Input Box:** [ ]
c. **Compute \( R_a^2 \) (Adjusted \( R^2 \)) (to 3 decimals):**
- **Input Box:** [ ]
d. **How good is the fit provided by the estimated regression equation?**
- **Dropdown Options:** [Select]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffbe4d004-b0c7-4fb9-bd84-121b248ea820%2F74b2af68-7642-4e2a-a92f-2653c8651f63%2Fa4oqo6_processed.png&w=3840&q=75)
Transcribed Image Text:**Estimated Regression Equation Analysis**
Consider the following estimated regression equation, based on 10 observations:
\[
\hat{y} = 29.1270 + 0.5906x_1 + 4.980x_2
\]
The values of SST (Total Sum of Squares) and SSR (Regression Sum of Squares) are 6724.125 and 6216.375, respectively.
**Tasks:**
a. **Find SSE (Sum of Squared Errors) (to 2 decimals):**
- **Input Box:** [ ]
b. **Compute \( R^2 \) (to 3 decimals):**
- **Input Box:** [ ]
c. **Compute \( R_a^2 \) (Adjusted \( R^2 \)) (to 3 decimals):**
- **Input Box:** [ ]
d. **How good is the fit provided by the estimated regression equation?**
- **Dropdown Options:** [Select]
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