H4.4 Q&A GRADE A
For what types of associations are regression models useful? - (correct
answer)Regression models are useful only for linear associations. If the association is
not linear, a regression model can be misleading and deceiving.
What type of effect can outliers have on a regression line? - (correct answer)A
regression line is a line of means, and outliers have a big effect on the regression line.
When one has influential points in their data, how should regression and correlation be
done? - (correct answer)When one has influential points in their data, they should do
the regression and correlation with and without these points and comment on the
differences.
Since outliers can greatly affect the regression line they are also called _______ points.
- (correct answer)Since outliers can greatly affect the regression line, these types of
observations are called influential points because their presence or absence has a big
effect on conclusions.
Attempting to use the regression equation to make predictions beyond the range of the
data is called _______. - (correct answer)Extrapolation means that one uses the
regression line to make predictions beyond the range of the data. This practice can be
dangerous, because although the association may have a linear shape for the range
one is observing, that might not be true over a larger range.
Under what conditions can extrapolation be used to make predictions beyond the range
of the data? - (correct answer)Extrapolation can never be used to make predictions
beyond the range of the data.
The value that measures how much variation in the response variable is explained by
the explanatory variable is called the _______. - (correct answer)The coefficient of
determination is the correlation coefficient squared; r2. In fact, this statistic is often
called r-squared. This value measures how much variation in the response variable is
explained by the explanatory variable.
For what types of associations are regression models useful? - (correct
answer)Regression models are useful only for linear associations. If the association is
not linear, a regression model can be misleading and deceiving.
What type of effect can outliers have on a regression line? - (correct answer)A
regression line is a line of means, and outliers have a big effect on the regression line.
When one has influential points in their data, how should regression and correlation be
done? - (correct answer)When one has influential points in their data, they should do
the regression and correlation with and without these points and comment on the
differences.
Since outliers can greatly affect the regression line they are also called _______ points.
- (correct answer)Since outliers can greatly affect the regression line, these types of
observations are called influential points because their presence or absence has a big
effect on conclusions.
Attempting to use the regression equation to make predictions beyond the range of the
data is called _______. - (correct answer)Extrapolation means that one uses the
regression line to make predictions beyond the range of the data. This practice can be
dangerous, because although the association may have a linear shape for the range
one is observing, that might not be true over a larger range.
Under what conditions can extrapolation be used to make predictions beyond the range
of the data? - (correct answer)Extrapolation can never be used to make predictions
beyond the range of the data.
The value that measures how much variation in the response variable is explained by
the explanatory variable is called the _______. - (correct answer)The coefficient of
determination is the correlation coefficient squared; r2. In fact, this statistic is often
called r-squared. This value measures how much variation in the response variable is
explained by the explanatory variable.
