Complete the equation below for an estimated regression equation developed to predict the average number of runs given up per inning pitched (R/IP) given the average number of strikeouts per inning pitched (SO/IP) and the average number of home runs per inning pitched (HR/IP) (to 3 decimals). R/IP = SO/IP + HR/IP + a. Use the F test to determine the overall significance of the relationship. Compute F test statistic (to 2 decimals). 11.98 The p-value is (to 3 decimals). What is your conclusion at the .05 level of significance? There a significant overall relationship. b. Use the t test to determine the significance of each independent variable. Compute the t test statistic for the significance of SO/IP (to 2 decimals). The p-value is (to 3 decimals). What is your conclusion at the .05 level of significance? SO/IP ✓significant. Compute the t test statistic for the significance of HR/IP (to 2 decimals). The p-value is (to 3 decimals). What is your conclusion at the .05 level of significance? HR/IP significant.
Complete the equation below for an estimated regression equation developed to predict the average number of runs given up per inning pitched (R/IP) given the average number of strikeouts per inning pitched (SO/IP) and the average number of home runs per inning pitched (HR/IP) (to 3 decimals). R/IP = SO/IP + HR/IP + a. Use the F test to determine the overall significance of the relationship. Compute F test statistic (to 2 decimals). 11.98 The p-value is (to 3 decimals). What is your conclusion at the .05 level of significance? There a significant overall relationship. b. Use the t test to determine the significance of each independent variable. Compute the t test statistic for the significance of SO/IP (to 2 decimals). The p-value is (to 3 decimals). What is your conclusion at the .05 level of significance? SO/IP ✓significant. Compute the t test statistic for the significance of HR/IP (to 2 decimals). The p-value is (to 3 decimals). What is your conclusion at the .05 level of significance? HR/IP significant.
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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![Complete the equation below for an estimated regression equation developed to predict the average number of runs given up per inning pitched (R/IP) given the average number of strikeouts per inning pitched (SO/IP) and the average number of home runs per inning pitched (HR/IP) (to 3 decimals).
\[ \text{R/IP} = \underline{\qquad} + \underline{\qquad} \text{ SO/IP} + \underline{\qquad} \text{ HR/IP} \]
a. Use the \( F \) test to determine the overall significance of the relationship.
Compute \( F \) test statistic (to 2 decimals).
\[ \boxed{11.98} \]
The \( p \)-value is \underline{\qquad} (to 3 decimals).
What is your conclusion at the .05 level of significance?
There \underline{\qquad} a significant overall relationship.
b. Use the \( t \) test to determine the significance of each independent variable.
Compute the \( t \) test statistic for the significance of SO/IP (to 2 decimals).
\underline{\qquad}
The \( p \)-value is \underline{\qquad} (to 3 decimals).
What is your conclusion at the .05 level of significance?
SO/IP \underline{\qquad} significant.
Compute the \( t \) test statistic for the significance of HR/IP (to 2 decimals).
\underline{\qquad}
The \( p \)-value is \underline{\qquad} (to 3 decimals).
What is your conclusion at the .05 level of significance?
HR/IP \underline{\qquad} significant.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbc6fbff9-4759-45b9-9f61-27046377aa96%2Fc2c27f7e-931e-4a35-b264-51f5a43c0c9c%2Flv8uad_processed.png&w=3840&q=75)
Transcribed Image Text:Complete the equation below for an estimated regression equation developed to predict the average number of runs given up per inning pitched (R/IP) given the average number of strikeouts per inning pitched (SO/IP) and the average number of home runs per inning pitched (HR/IP) (to 3 decimals).
\[ \text{R/IP} = \underline{\qquad} + \underline{\qquad} \text{ SO/IP} + \underline{\qquad} \text{ HR/IP} \]
a. Use the \( F \) test to determine the overall significance of the relationship.
Compute \( F \) test statistic (to 2 decimals).
\[ \boxed{11.98} \]
The \( p \)-value is \underline{\qquad} (to 3 decimals).
What is your conclusion at the .05 level of significance?
There \underline{\qquad} a significant overall relationship.
b. Use the \( t \) test to determine the significance of each independent variable.
Compute the \( t \) test statistic for the significance of SO/IP (to 2 decimals).
\underline{\qquad}
The \( p \)-value is \underline{\qquad} (to 3 decimals).
What is your conclusion at the .05 level of significance?
SO/IP \underline{\qquad} significant.
Compute the \( t \) test statistic for the significance of HR/IP (to 2 decimals).
\underline{\qquad}
The \( p \)-value is \underline{\qquad} (to 3 decimals).
What is your conclusion at the .05 level of significance?
HR/IP \underline{\qquad} significant.
Transcribed Image Text:### Table Data
**Columns Description:**
- **Team:** Abbreviated names of baseball teams.
- **W:** Number of wins.
- **L:** Number of losses.
- **ERA:** Earned Run Average.
- **SO/IP:** Strikeouts per Innings Pitched.
- **HR/IP:** Home Runs per Innings Pitched.
- **R/IP:** Runs per Innings Pitched.
**Table:**
| Team | W | L | ERA | SO/IP | HR/IP | R/IP |
|------|----|----|------|-------|-------|------|
| DET | 24 | 5 | 2.39 | 1.00 | 0.09 | 0.28 |
| BOS | 17 | 8 | 2.88 | 0.99 | 0.26 | 0.33 |
| TEX | 16 | 7 | 2.94 | 0.92 | 0.06 | 0.39 |
| NYY | 19 | 8 | 3.01 | 0.91 | 0.07 | 0.36 |
| LAA | 16 | 7 | 3.24 | 0.90 | 0.07 | 0.38 |
| OAK | 14 | 10 | 3.32 | 0.89 | 0.07 | 0.40 |
| LAA | 15 | 9 | 3.37 | 0.90 | 0.11 | 0.41 |
| BOS | 12 | 12 | 3.41 | 0.91 | 0.10 | 0.41 |
| SEA | 15 | 9 | 3.46 | 0.95 | 0.08 | 0.40 |
| CWS | 11 | 13 | 3.73 | 0.81 | 0.10 | 0.43 |
| SEA | 10 | 11 | 3.79 | 0.83 | 0.15 | 0.45 |
| NYY | 12 | 10 |
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