Researchers study how developmental regression is associated with autism. They add age to the regression model. How will they know if it is significant? R-squared for the model Unstandardized coefficient for the variable Standardized coefficient for the variable p-value for the variable
Added by Heather H.
Close
Step 1
The R-squared value represents the proportion of variance in the dependent variable (developmental regression in this case) that is explained by the independent variables (including age). Show more…
Show all steps
Your feedback will help us improve your experience
Jennifer Stoner and 92 other Intro Stats / AP Statistics educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
How does a researcher determine if a correlation coefficient is significant?
How do we check if the independent variables are statistically significant and contribute to the multiple regression models?
Rashmi S.
Suppose we have a regression model: y = a + b1*x1 + b2*x2. You should understand the following: 1. The meaning of coefficients, intercept (a), and slopes (b1, b2). 2. The meaning of the "significance level"; how we determine if a coefficient is significant (p <= 0.05) or not. 3. How can we predict the value of y for a new data point, based on the regression analysis?
Federico C.
Recommended Textbooks
Elementary Statistics a Step by Step Approach
The Practice of Statistics for AP
Introductory Statistics
Transcript
Watch the video solution with this free unlock.
EMAIL
PASSWORD