Term 1 of 19
The formula for the equation describing a straight line is y hat= b0 + b1x. The value for b0 in this
equation represents the _________.
y-intercept of the straight line
slope of the straight line
false
regression coefficient
Term 2 of 19
Consider the relationship between the following variables:
- household income
- square footage of the primary residence
Housing income would be considered the independent variable. (T/F)
True
False
Term 3 of 19
________ is present in the regression model when independent variables within the model are
highly correlated.
multicollinearity
seasonal
regression coefficient
equally likely
,Term 4 of 19
A ________ component is present in a time series if a general upward or downward movement can
be observed in the data.
seasonal
maximax
true
trend
Term 5 of 19
A correlation coefficient of -0.80 is an indication of a weak negative relationship between two
variables. (T/F)
True
False
Term 6 of 19
The formula for the equation describing a straight line is y hat = b0 + b1x. The value for b1 in this
equation represents the ______________.
regression coefficient
slope of the straight line
y-intercept of the straight line
false
Term 7 of 19
Given a regression equation of y hat = 15.6 - 3.8x, a one-unit increase in the independent
variable would result in an average increase of 3.8 for the dependent variable. (T/F)
True
False
, Term 8 of 19
A ________ predicts the change in a dependent variable due to a one-unit increase in an
independent variable while holding other variables constant.
multicollinearity
regression coefficient
trend
seasonal
Term 9 of 19
A relationship is linear if the scatter plot of the independent and dependent variables has a
straight-line pattern. (T/F)
True
False
Term 10 of 19
A ________ component is present in a time series if a consistent pattern in the data can be
associated with a calendar.
trend
seasonal
regression coefficient
maximax
Term 11 of 19
Using the _____________ criterion you choose the alternative with the highest average payoff in the
decision table.
multicollinearity
equally likely
maximax
maximin
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