(c) The predictors that were found to have significant coefficients from the t tests are the same ones that are significant from using the p-values. O True O False (d) When checking for significance, most prefer the p-value approach because O The p-value actually tells the strength of the significance. O It is easier than looking up a critical value for the t statistic.
(c) The predictors that were found to have significant coefficients from the t tests are the same ones that are significant from using the p-values. O True O False (d) When checking for significance, most prefer the p-value approach because O The p-value actually tells the strength of the significance. O It is easier than looking up a critical value for the t statistic.
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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Transcribed Image Text:(c) The predictors that were found to have significant coefficients from the t tests are the same ones that are significant from using the p-values.
- ○ True
- ○ False
(d) When checking for significance, most prefer the p-value approach because
- ○ The p-value actually tells the strength of the significance.
- ○ It is easier than looking up a critical value for the t statistic.

Transcribed Image Text:**Salaries for 39 Engineers Employed by the Solnar Company**
The spreadsheet provides a detailed dataset of salaries for engineers employed by the Solnar Company. The data includes the following columns:
- **Salary ($1000):** Represents the annual salary in thousands of dollars.
- **Years:** The number of years of experience each engineer has.
- **YearsSq:** The square of the years of experience, showing the quadratic impact of experience.
- **Male:** A binary variable where 1 indicates the engineer is male, and 0 indicates otherwise.
- **Years x Male:** An interaction term calculated by multiplying the 'Years' of experience by the 'Male' variable to see how experience affects salary differently for males.
Here is an example of the data entries:
1. An engineer with a salary of $48,000 has 1 year of experience.
2. An engineer with a salary of $102,000 has 13 years of experience, and is male.
The dataset includes varying levels of experience, from 1 year to 35 years, and provides insights into how experience and gender interact to influence salary.
**Additional Information:**
- The dataset is copyrighted by The McGraw-Hill Companies, intended solely for educational purposes by licensed users.
- The note specifies: "The binary variable Male is 1 if the engineer is male, 0 otherwise."
This analysis can aid in understanding the salary distribution and the effect of gender and experience within the company.
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