Busy. Please wait.

Forgot Password?

Don't have an account?  Sign up 

show password


Make sure to remember your password. If you forget it there is no way for StudyStack to send you a reset link. You would need to create a new account.

By signing up, I agree to StudyStack's Terms of Service and Privacy Policy.

Already a StudyStack user? Log In

Reset Password
Enter the email address associated with your account, and we'll email you a link to reset your password.

Remove ads
Don't know (0)
Know (0)
remaining cards (0)
To flip the current card, click it or press the Spacebar key.  To move the current card to one of the three colored boxes, click on the box.  You may also press the UP ARROW key to move the card to the "Know" box, the DOWN ARROW key to move the card to the "Don't know" box, or the RIGHT ARROW key to move the card to the Remaining box.  You may also click on the card displayed in any of the three boxes to bring that card back to the center.

Pass complete!

"Know" box contains:
Time elapsed:
restart all cards

Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.

  Normal Size     Small Size show me how

Two Variable Data

extrapolating making predictions
LSRL (Least Squares Regression Line) a unique line that has the smallest possible value for the sum of the squares of the residuals
Residual actual value - predicted value
Positive Residual means that the actual value is greater than the predicted value
Negative Residual the actual value is less than the predicted value
residual plot helps determine if a linear model is a good fit for a scatterplot of data
correlation coefficient r - is a measure of how much or how little data is scattered around the LSRL
lurking variable variable not included in study
quadratic model u shape
R^2 Sentence R^2 percent of the variablity in the dependent variable can be explained by a linear model with the independent variable
exponential model uses exponents
Created by: mancity04