racing bikes. Brand Weight Price ($) A 17.8 2,100 B 16.1 6,350 14.9 8,370 15.9 6,200 17.2 4,000 F 13.1 8,600 16.2 6,000 H 17.1 2,680 17.6 3,400 14.1 8,000 ese data provided the estimated regression equation ý = 28,506 - 1,433x. For these data, SSE = 7,009,621.71 and SST = 51,682,800. Use the F test to determine whether the weight for a bike and the price are related at the 0.05 level of significa te the null and alternative hypotheses. O Hoi Bq = 0 H: B, = 0 O Hoi Bo = 0 H: Bo = 0 H: Bo = 0 Hi Bq < 0 d the value of the test statistic. (Round your answer to two decimal places.)
racing bikes. Brand Weight Price ($) A 17.8 2,100 B 16.1 6,350 14.9 8,370 15.9 6,200 17.2 4,000 F 13.1 8,600 16.2 6,000 H 17.1 2,680 17.6 3,400 14.1 8,000 ese data provided the estimated regression equation ý = 28,506 - 1,433x. For these data, SSE = 7,009,621.71 and SST = 51,682,800. Use the F test to determine whether the weight for a bike and the price are related at the 0.05 level of significa te the null and alternative hypotheses. O Hoi Bq = 0 H: B, = 0 O Hoi Bo = 0 H: Bo = 0 H: Bo = 0 Hi Bq < 0 d the value of the test statistic. (Round your answer to two decimal places.)
Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter11: Data Analysis And Displays
Section: Chapter Questions
Problem 13CR
Related questions
Question
![## Data Analysis of Road-Racing Bikes
Consider the following data on \( x = \text{weight (pounds)} \) and \( y = \text{price (\$)} \) for 10 road-racing bikes.
| Brand | Weight (lbs) | Price ($) |
|-------|--------------|-----------|
| A | 17.8 | 2,100 |
| B | 16.1 | 6,350 |
| C | 14.9 | 8,370 |
| D | 15.9 | 6,200 |
| E | 17.2 | 4,000 |
| F | 13.1 | 8,600 |
| G | 16.2 | 6,000 |
| H | 17.1 | 2,680 |
| I | 17.6 | 3,400 |
| J | 14.1 | 8,000 |
These data provided the estimated regression equation:
\[
\hat{y} = 28,506 - 1,433x
\]
- **Sum of Squared Errors (SSE):** 7,009,621.71
- **Total Sum of Squares (SST):** 51,682,800
Use the F test to determine whether the weight for a bike and the price are related at the 0.05 level of significance.
### Hypotheses
State the null and alternative hypotheses:
1. \( H_0: \beta_1 = 0 \)
\( H_a: \beta_1 \neq 0 \)
2. \( H_0: \beta_1 = 0 \)
\( H_a: \beta_1 > 0 \)
3. \( H_0: \beta_1 = 0 \)
\( H_a: \beta_1 < 0 \)
Find the value of the test statistic. (Round your answer to two decimal places.)
\[ \boxed{} \]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F358923dd-976b-4983-a367-bafd3b4b55c1%2Fa382de15-930f-4002-803f-f75548d4fca1%2Frvghu06_processed.png&w=3840&q=75)
Transcribed Image Text:## Data Analysis of Road-Racing Bikes
Consider the following data on \( x = \text{weight (pounds)} \) and \( y = \text{price (\$)} \) for 10 road-racing bikes.
| Brand | Weight (lbs) | Price ($) |
|-------|--------------|-----------|
| A | 17.8 | 2,100 |
| B | 16.1 | 6,350 |
| C | 14.9 | 8,370 |
| D | 15.9 | 6,200 |
| E | 17.2 | 4,000 |
| F | 13.1 | 8,600 |
| G | 16.2 | 6,000 |
| H | 17.1 | 2,680 |
| I | 17.6 | 3,400 |
| J | 14.1 | 8,000 |
These data provided the estimated regression equation:
\[
\hat{y} = 28,506 - 1,433x
\]
- **Sum of Squared Errors (SSE):** 7,009,621.71
- **Total Sum of Squares (SST):** 51,682,800
Use the F test to determine whether the weight for a bike and the price are related at the 0.05 level of significance.
### Hypotheses
State the null and alternative hypotheses:
1. \( H_0: \beta_1 = 0 \)
\( H_a: \beta_1 \neq 0 \)
2. \( H_0: \beta_1 = 0 \)
\( H_a: \beta_1 > 0 \)
3. \( H_0: \beta_1 = 0 \)
\( H_a: \beta_1 < 0 \)
Find the value of the test statistic. (Round your answer to two decimal places.)
\[ \boxed{} \]
![**Find the p-value. (Round your answer to three decimal places.)**
p-value = [______]
**State your conclusion.**
- ○ Do not reject \( H_0 \). We cannot conclude that the relationship between weight (pounds) and price ($) is significant.
- ○ Do not reject \( H_0 \). We conclude that the relationship between weight (pounds) and price ($) is significant.
- ○ Reject \( H_0 \). We conclude that the relationship between weight (pounds) and price ($) is significant.
- ○ Reject \( H_0 \). We cannot conclude that the relationship between weight (pounds) and price ($) is significant.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F358923dd-976b-4983-a367-bafd3b4b55c1%2Fa382de15-930f-4002-803f-f75548d4fca1%2Fc6i1n38_processed.png&w=3840&q=75)
Transcribed Image Text:**Find the p-value. (Round your answer to three decimal places.)**
p-value = [______]
**State your conclusion.**
- ○ Do not reject \( H_0 \). We cannot conclude that the relationship between weight (pounds) and price ($) is significant.
- ○ Do not reject \( H_0 \). We conclude that the relationship between weight (pounds) and price ($) is significant.
- ○ Reject \( H_0 \). We conclude that the relationship between weight (pounds) and price ($) is significant.
- ○ Reject \( H_0 \). We cannot conclude that the relationship between weight (pounds) and price ($) is significant.
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