Help
Options
Didn't know it?
click below
click below
Knew it?
click below
click below
Don't Know
Remaining cards (0)
Know
retry
shuffle
restart
0:00
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
Normal Size Small Size show me how
Stats Chapter 8
vocab
| Question | Answer |
|---|---|
| model | an equation or formula that simplifies and represents reality |
| linear model | a linear model is an equation of a line, need to know the variables along with their W's and their units |
| predicted value | the value of yhat for a given x-value in the data, a predicted value is found by substituting the x-value in the regression equation |
| residuals | the differences between data values and the corresponding values predicted by the regression model - or more generally values predicted by any model |
| least squares | specifies the unique line that minimizes the variance of the residuals or equivalently the sum of the squared residuals |
| regression to the mean | because the correlation is always less than 1.0 in magnitude each predicted yhat tends to be fewer standard deviations from its mean than its corresponding x was from its means which is called regression to the mean |
| regression line / line of best fit | yhat - bnot +bonex |
| slope | bone gives a value in "y-units per x-unit" |
| intercept | bnot gives a starting value in y-units, found from bnot = ybar - bonexbar |
Created by:
697421973
Popular Math sets