Question

Match the statistics term with its BEST definition.

Question 2 options:

	A key requirement for using correlation and regression models is to collect this type of data.
	With bivariate data, the result of MINIMIZING the sum of squared distances between the observed and predicted values (residuals) for a linear model.
	This quantity is computed by subtracting the observed response variable from the predicted response variable.
	With bivariate data, when one variable increases a second variable decrease implies this relationship.
	A key tool used to assess the adequacy of a regression model in fitting the data.

1.	Note: Below choices may NOT all be used as matches.
2.	intercept
3.	negative association
4.	positive association
5.	sample correlation coefficient r
6.	least-squares regression line
7.	residual plot
8.	bivariate/paired
9.	residual
10.	predicted value
11.	Slope

Answer 1

1) A key requirement for using correlation and regression models is to collect this type of data.

Answer: bivariate/paired

2) With bivariate data, the result of MINIMIZING the sum of squared distances between the observed and predicted values (residuals) for a linear model.

Answer: least-squares regression line

3) This quantity is computed by subtracting the observed response variable from the predicted response variable.

Answer: residual

4) With bivariate data, when one variable increases a second variable decrease implies this relationship.

Answer: negative association

5) A key tool used to assess the adequacy of a regression model in fitting the data.

Answer: residual plot