BUAL 5380 MIDTERM 2026 QUESTIONS AND
ANSWERS SURE A+
✔✔residual - ✔✔In linear regression, we fit the least squares line to a set of values (or
points on a scatterplot). The
distance from the line to a point is called the:
✔✔product - ✔✔In linear regression, we can have an interaction variable. Algebraically,
the interaction variable is
the __________ other variables in the regression equation.
✔✔response variable explained by the regression line - ✔✔The percentage of variation
(R^2 ) can be interpreted as the fraction (or percent) of variation of the
✔✔the number of explanatory variables in a multiple regression model - ✔✔The
adjusted R2 adjusts R2 for:
✔✔All of these - ✔✔Suppose you run a regression of a person's height on his/her right
and left foot sizes, and you suspect
that there may be multicollinearity between the foot sizes. What types of problems might
you see if
your suspicions are true?
ANSWERS SURE A+
✔✔residual - ✔✔In linear regression, we fit the least squares line to a set of values (or
points on a scatterplot). The
distance from the line to a point is called the:
✔✔product - ✔✔In linear regression, we can have an interaction variable. Algebraically,
the interaction variable is
the __________ other variables in the regression equation.
✔✔response variable explained by the regression line - ✔✔The percentage of variation
(R^2 ) can be interpreted as the fraction (or percent) of variation of the
✔✔the number of explanatory variables in a multiple regression model - ✔✔The
adjusted R2 adjusts R2 for:
✔✔All of these - ✔✔Suppose you run a regression of a person's height on his/her right
and left foot sizes, and you suspect
that there may be multicollinearity between the foot sizes. What types of problems might
you see if
your suspicions are true?
