Table of contents
- 1. Intro to Stats and Collecting Data(0)
- 2. Describing Data with Tables and Graphs(0)
- 3. Describing Data Numerically(0)
- 4. Probability(0)
- 5. Binomial Distribution & Discrete Random Variables(0)
- 6. Normal Distribution and Continuous Random Variables(0)
- 7. Sampling Distributions & Confidence Intervals: Mean(0)
- 8. Sampling Distributions & Confidence Intervals: Proportion(0)
- 9. Hypothesis Testing for One Sample(0)
- 10. Hypothesis Testing for Two Samples(0)
- 11. Correlation(0)
- 12. Regression(0)
- 13. Chi-Square Tests & Goodness of Fit(0)
- 14. ANOVA(0)
12. Regression
Linear Regression & Least Squares Method
12. Regression
Linear Regression & Least Squares Method: Videos & Practice Problems
88 of 0
Problem 88Multiple Choice
A researcher develops a multiple linear regression model to predict a person’s lung capacity (in liters), based on their age (in years) and chest circumference (in centimeters). The regression output from statistical software is shown below:

Test the claim that age is not a useful predictor of lung capacity. Use the -value to conclude at the significance level.
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