Construct the 95% Prediction Interval Estimate for the actual tax for one the house with an asking price of $400,000 and 50 years old, I have attatched the regression table and data below.
Construct the 95% Prediction Interval Estimate for the actual tax for one the house with an asking price of $400,000 and 50 years old, I have attatched the regression table and data below.
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
Construct the 95% Prediction
![**Regression Analysis Overview**
This regression analysis involves examining the relationship between variables through statistical measures and metrics. Below is a detailed transcription and explanation of the components visible in the analysis.
---
### Regression Statistics
- **Multiple R:** 0.9915
- **R Square:** 0.9830
- **Adjusted R Square:** 0.9824
- **Standard Error:** 108.8113
- **Observations:** 61
*Interpretation:*
- The Multiple R value, close to 1, indicates a strong correlation between the observed and predicted values.
- The R Square value suggests that 98.30% of the variance in the dependent variable is explained by the model.
### ANOVA (Analysis of Variance)
| Source | df | SS | MS | F | Significance F |
|--------------|----|------------------|---------------|-----------|----------------|
| Regression | 2 | 39731441.7245 | 19865720.8622 | 1677.8619 | 0.0000 |
| Residual | 58 | 686714.3411 | 11839.9024 | | |
| Total | 60 | 40418156.0656 | | | |
*Interpretation:*
- The high F-value with a significance level of 0.0000 indicates that the model is statistically significant.
### Coefficients and Statistics
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% |
|---------------|----------------|----------|---------|------------|------------|
| Intercept | -90.2166 | 113.1013 | -0.7977 | 0.4283 | -316.6134 | 136.1802 |
| Asking Price | 9.2169 | 0.1716 | 53.7184 | 0.0000 | 8.8735 | 9.5604 |
| Age | 2.5069 | 0.8994 | 2.7873 | 0.0072 | 0.7065 | 4.3073 |
*Interpretation:*
- The P-value for Asking](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbfd92378-ff54-49ec-a5cd-cf2154b29b1a%2F2d7bdfa9-1928-489f-88b2-5f6c2908647a%2Fv3jvng9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Regression Analysis Overview**
This regression analysis involves examining the relationship between variables through statistical measures and metrics. Below is a detailed transcription and explanation of the components visible in the analysis.
---
### Regression Statistics
- **Multiple R:** 0.9915
- **R Square:** 0.9830
- **Adjusted R Square:** 0.9824
- **Standard Error:** 108.8113
- **Observations:** 61
*Interpretation:*
- The Multiple R value, close to 1, indicates a strong correlation between the observed and predicted values.
- The R Square value suggests that 98.30% of the variance in the dependent variable is explained by the model.
### ANOVA (Analysis of Variance)
| Source | df | SS | MS | F | Significance F |
|--------------|----|------------------|---------------|-----------|----------------|
| Regression | 2 | 39731441.7245 | 19865720.8622 | 1677.8619 | 0.0000 |
| Residual | 58 | 686714.3411 | 11839.9024 | | |
| Total | 60 | 40418156.0656 | | | |
*Interpretation:*
- The high F-value with a significance level of 0.0000 indicates that the model is statistically significant.
### Coefficients and Statistics
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% |
|---------------|----------------|----------|---------|------------|------------|
| Intercept | -90.2166 | 113.1013 | -0.7977 | 0.4283 | -316.6134 | 136.1802 |
| Asking Price | 9.2169 | 0.1716 | 53.7184 | 0.0000 | 8.8735 | 9.5604 |
| Age | 2.5069 | 0.8994 | 2.7873 | 0.0072 | 0.7065 | 4.3073 |
*Interpretation:*
- The P-value for Asking
![**Real Estate Data Summary**
This table provides information on various properties, including their addresses, asking prices, yearly taxes, and ages. Below is a breakdown of the data presented:
**Columns:**
1. **Address** - Specifies the location of each property.
2. **Asking Price** - The price at which the property is listed for sale, in thousands.
3. **Yearly Taxes** - The annual tax amount for the property.
4. **Age** - The number of years since the property was built.
**Data Entries:**
- **218 Windridge Acres Court**:
- Asking Price: $450,000
- Yearly Taxes: $4,116
- Age: 23 years
- **2424 White Horse Lane**:
- Asking Price: $550,000
- Yearly Taxes: $3,004
- Age: 53 years
- **14103 Eddington Street**:
- Asking Price: $363,000
- Yearly Taxes: $3,422
- Age: 51 years
- **2004 Gatewood Place**:
- Asking Price: $550,000
- Yearly Taxes: $5,529
- Age: 38 years
- **2503 Jaysgate Place**:
- Asking Price: $463,000
- Yearly Taxes: $3,998
- Age: 35 years
- **1305 Stonewheel Drive**:
- Asking Price: $463,000
- Yearly Taxes: $4,302
- Age: 64 years
- **317 West Avenue**:
- Asking Price: $523,000
- Yearly Taxes: $3,686
- Age: 67 years
- **25 Derbyton Avenue**:
- Asking Price: $653,000
- Yearly Taxes: $4,386
- Age: 18 years
- **6025 Galewood Drive**:
- Asking Price: $493,000
- Yearly Taxes: $4,186
- Age: 50 years
- **1201 Mulberry Drive**:
- Asking Price: $503,000
- Yearly Taxes: $4,176
- Age: 42 years](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbfd92378-ff54-49ec-a5cd-cf2154b29b1a%2F2d7bdfa9-1928-489f-88b2-5f6c2908647a%2Fcedt059_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Real Estate Data Summary**
This table provides information on various properties, including their addresses, asking prices, yearly taxes, and ages. Below is a breakdown of the data presented:
**Columns:**
1. **Address** - Specifies the location of each property.
2. **Asking Price** - The price at which the property is listed for sale, in thousands.
3. **Yearly Taxes** - The annual tax amount for the property.
4. **Age** - The number of years since the property was built.
**Data Entries:**
- **218 Windridge Acres Court**:
- Asking Price: $450,000
- Yearly Taxes: $4,116
- Age: 23 years
- **2424 White Horse Lane**:
- Asking Price: $550,000
- Yearly Taxes: $3,004
- Age: 53 years
- **14103 Eddington Street**:
- Asking Price: $363,000
- Yearly Taxes: $3,422
- Age: 51 years
- **2004 Gatewood Place**:
- Asking Price: $550,000
- Yearly Taxes: $5,529
- Age: 38 years
- **2503 Jaysgate Place**:
- Asking Price: $463,000
- Yearly Taxes: $3,998
- Age: 35 years
- **1305 Stonewheel Drive**:
- Asking Price: $463,000
- Yearly Taxes: $4,302
- Age: 64 years
- **317 West Avenue**:
- Asking Price: $523,000
- Yearly Taxes: $3,686
- Age: 67 years
- **25 Derbyton Avenue**:
- Asking Price: $653,000
- Yearly Taxes: $4,386
- Age: 18 years
- **6025 Galewood Drive**:
- Asking Price: $493,000
- Yearly Taxes: $4,186
- Age: 50 years
- **1201 Mulberry Drive**:
- Asking Price: $503,000
- Yearly Taxes: $4,176
- Age: 42 years
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
Step 1: Write the given information
Given the data as
Yearly Taxes | Asking Price | Age |
4176 | 450.0 | 29 |
5004 | 539.0 | 52 |
2868 | 309.0 | 65 |
5088 | 549.0 | 43 |
4584 | 494.0 | 54 |
3948 | 425.0 | 55 |
3900 | 419.9 | 56 |
4056 | 437.5 | 35 |
4344 | 468.9 | 57 |
3432 | 369.9 | 59 |
5100 | 550.0 | 69 |
3408 | 368.0 | 81 |
4536 | 489.0 | 62 |
3432 | 369.9 | 63 |
3984 | 332.0 | 107 |
3900 | 420.0 | 66 |
5520 | 595.0 | 71 |
5208 | 550.0 | 52 |
4068 | 439.0 | 68 |
5424 | 584.5 | 30 |
4176 | 450.0 | 66 |
5292 | 569.0 | 29 |
4272 | 459.9 | 39 |
6216 | 669.9 | 18 |
3876 | 418.0 | 58 |
4356 | 469.0 | 65 |
5376 | 579.0 | 30 |
4452 | 479.9 | 52 |
4452 | 480.0 | 52 |
4308 | 464.9 | 58 |
4272 | 459.9 | 64 |
5748 | 619.0 | 29 |
5556 | 599.0 | 62 |
5568 | 599.9 | 37 |
5424 | 585.0 | 82 |
4644 | 499.9 | 46 |
4680 | 504.9 | 38 |
4452 | 479.9 | 55 |
4968 | 535.0 | 52 |
3936 | 424.9 | 53 |
3480 | 375.0 | 52 |
5088 | 549.0 | 39 |
3204 | 346.0 | 69 |
4176 | 449.9 | 50 |
4968 | 535.0 | 69 |
2508 | 269.9 | 67 |
3576 | 385.0 | 68 |
3708 | 399.9 | 71 |
4644 | 500.0 | 49 |
5472 | 590.0 | 77 |
6492 | 700.0 | 12 |
3528 | 379.9 | 68 |
4548 | 489.9 | 69 |
4800 | 518.0 | 50 |
4032 | 434.9 | 46 |
4080 | 439.9 | 21 |
4176 | 450.0 | 70 |
4920 | 529.9 | 52 |
3336 | 360.0 | 32 |
5796 | 625.0 | 65 |
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