CHAPTER 9: Regression - Prediction with Precision Flashcards
Regression:
A) can be used on the same data as those used for a correlation analysis
B) is exactly the same as the correlation coefficient
C) should be used when you fail to find a significant correlation
D) Is a harder way to do correlation
A) can be used on the same data as those used for a correlation analysis
The predictor variable is:
A) the y-variable
B) the vertical Axis
C) the outcome that is being predicted in an analysis
D) the ‘known’ variable
D) the ‘known’ variable
Regression is represented on a:
A) pie chart
B) bar chart
C) scattergram
D) Compound bar chart
C) scattergram
In regression, the horizontal axis ( x-axis ) of the graph should:
A) Represent the residuals
B) represent the variable for which the prediction is being made
C) represent either the predictor or the criterion variable
D) represent what is being predicted
B) represent the variable for which the prediction is being made
The criterion variable is:
A) the variable that is used to make predictions
B) the outcome that is being predicted in an analysis
C) presented on the x-axis
D) represented on the horizontal axis
B) the outcome that is being predicted in an analysis
If one wishes to predict performance in tennis finals from performance in semi-finals:
A) performance in the finals is the criterion variable
B) there must not be a correlation between semi0final and final performances
C) performance in the semi-finals is the criterion variable
D) performance in the finals is the predictors variable
A) performance in the finals is the criterion variable
The regression line:
A) the best fitting straight line through the points in the scattergram which minimises the squared deviations from the points
B) the best fitting straight line through the points in the scattergram which maximises the squared deviations from the points
C) usually curved
D) the best fitting straight line through the points in the scattergram
A) the best fitting straight line through the points in the scattergram which minimises the squared deviations from the points
The point at which the regression line cuts the vertical axis is:
A) always zero
B) is always the average score on the predictor variable
C) irrelevant to making the prediction
D) sometimes positive, sometimes negative
D) sometimes positive, sometimes negative