Trying to find the estimated Bs from the regression.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Trying to find the estimated Bs from the regression.
![**Statistical Analysis Results**
This analysis presents the results of a regression model examining the relationship between Weight and Height. Below is the detailed breakdown of the variables and statistical outputs included in the analysis:
**Variable Summary:**
- **Height**
- Number of Observations (Obs): 5
- Mean: 8.64
- Standard Deviation: 5.074249
- Minimum: 1
- Maximum: 13.2
- **Weight**
- Number of Observations (Obs): 5
- Mean: 170.8
- Standard Deviation: 31.67333
- Minimum: 130
- Maximum: 210
- **MaleFemale**
- Number of Observations (Obs): 5
- Mean: 5
- Observations (Male 0, Female 1)
**Regression Analysis: Weight versus Height:**
**ANOVA Table:**
- **Source**
- **Model**
- Sum of Squares (SS): 2038.83697
- Degrees of Freedom (df): 1
- Mean Square (MS): 2038.83697
- **Residual**
- Sum of Squares (SS): 1973.96303
- Degrees of Freedom (df): 3
- Mean Square (MS): 657.987675
- **Total**
- Sum of Squares (SS): 4012.8
- Degrees of Freedom (df): 4
- Mean Square (MS): 1003.2
**Regression Model Summary:**
- Number of Observations: 5
- F-statistic: 3.10
- Probability > F: 0.1766
- R-squared: 0.5081
- Adjusted R-squared: 0.3441
- Root Mean Square Error (MSE): 25.651
**Coefficients:**
- **Weight**
- **Height Coefficient**: 4.449278
- Standard Error: 2.527593
- t-value: 1.76
- p-value (P>|t|): 0.177
- 95% Confidence Interval: [-3.594651, 12.49321]
- **Constant (_cons):** 132.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffbe4d004-b0c7-4fb9-bd84-121b248ea820%2Faeccaf54-af4f-4a0a-96f8-f2f0f1c490d2%2Fgossz65_processed.png&w=3840&q=75)
Transcribed Image Text:**Statistical Analysis Results**
This analysis presents the results of a regression model examining the relationship between Weight and Height. Below is the detailed breakdown of the variables and statistical outputs included in the analysis:
**Variable Summary:**
- **Height**
- Number of Observations (Obs): 5
- Mean: 8.64
- Standard Deviation: 5.074249
- Minimum: 1
- Maximum: 13.2
- **Weight**
- Number of Observations (Obs): 5
- Mean: 170.8
- Standard Deviation: 31.67333
- Minimum: 130
- Maximum: 210
- **MaleFemale**
- Number of Observations (Obs): 5
- Mean: 5
- Observations (Male 0, Female 1)
**Regression Analysis: Weight versus Height:**
**ANOVA Table:**
- **Source**
- **Model**
- Sum of Squares (SS): 2038.83697
- Degrees of Freedom (df): 1
- Mean Square (MS): 2038.83697
- **Residual**
- Sum of Squares (SS): 1973.96303
- Degrees of Freedom (df): 3
- Mean Square (MS): 657.987675
- **Total**
- Sum of Squares (SS): 4012.8
- Degrees of Freedom (df): 4
- Mean Square (MS): 1003.2
**Regression Model Summary:**
- Number of Observations: 5
- F-statistic: 3.10
- Probability > F: 0.1766
- R-squared: 0.5081
- Adjusted R-squared: 0.3441
- Root Mean Square Error (MSE): 25.651
**Coefficients:**
- **Weight**
- **Height Coefficient**: 4.449278
- Standard Error: 2.527593
- t-value: 1.76
- p-value (P>|t|): 0.177
- 95% Confidence Interval: [-3.594651, 12.49321]
- **Constant (_cons):** 132.
Expert Solution
Step 1
Introduction:
In the first table of the output, the "Variable" column shows that there are three variables- Height, Weight, and MaleFemale.
At the top of the second table in the output, "regress Weight Height" indicates that the following tables relate to the regression analysis where Weight is the response variable being predicted using Height as the predictor variable.
Step by step
Solved in 2 steps
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