Linear Regression
This value measures the direction and strength of the linear relationship between two quantitative variables.
What is r, the correlation?
This is the equation for a residual.
This is the size of a typical prediction error.
What is s?
What is the standard deviation?
What is a scatterplot?
This is the equation for the mean.
What is you sum all the observations and divide by the number of observations you have.
This is the fraction of the variation in the values of y that is accounted for by the linear model with x.
What is r2, the coefficient of determination?
This is the value in a distribution with p percent of obeservations lower than it.
What is the percentile?
This is the predicted amount y changes, when x changes by one unit.
What is the slope, b?
This is the midpoint of a distribution.
What is the median?
This is a type of variable that places an individual into one of several groups or categories.
What is a categorical variable?
This is the rule that tells how much data falls within 1, 2, and 3 sd on a normal curve.
What is the 68, 95, 99.7 rule?
This is the predicted value of y when x is 0.
What is the y-intercept, a?
This is the rule for determining outliers.
What is skewed right?
These are the types of graphs that can be used for numerical data (list 4).
What are boxplots, histograms, dotplots, and stem and leaf plots?
This is the use of a regression line for prediction far outside the interval of values of the explanatory variable x used to obtain the line.
What is extrapolation?
This is the equation for a z-score.
What is z=(x-mean)/sd?
This is the five number summary.
What is Min, Q1, Med, Q3, Max?
These are the types of graphs that can be used to represent categorical data (list 3).
What are pie charts, bar graphs, and segmented bar graphs?