MBA 522 QUIZ 5 GROUP DECISION
MAKING & IMPROVISATION |
QUESTIONS ANGROUP DECISION
MAKING & IMPROVISATION D
ANSWERS | 2026 UPDATE | WITH
COMPLETE SOLUTIONS.
A regression analysis between sales (in $1000) and advertising (in $100) resulted in the
following least squares line: Y = 84 +7X. This implies that if advertising is $800, then the
predicted amount of sales (in dollars) is $140,000. - answer- true
A regression analysis between weight (Y in pounds) and height (X in inches) resulted in
the following least squares line: = 140 + 5X. This implies that if the height is increased
by 1 inch, the weight is expected to increase on average by 5 pounds. - answer- true
A regression analysis between sales (in $1000) and advertising (in $100) resulted in the
following least squares line: = 84 +7X. This implies that if there is no advertising, then
the predicted amount of sales (in dollars) is $84,000. - answer- true
Scatterplots are used for identifying outliers and quantifying relationships between
variables. - answer- false
The coefficients for logarithmically transformed explanatory variables should be
interpreted as the percent change in the dependent variable for a 1% percent change in
the explanatory variable. - answer- false
A negative relationship between an explanatory variable X and a response variable Y
means that as X increases, Y decreases, and vice versa. - answer- true
If the regression equation includes anything other than a constant plus the sum of
products of constants and variables, the model will not be linear. - answer- true
The primary purpose of a nonlinear transformation is to "straighten out" the data on a
scatterplot. - answer- true
A regression analysis between sales (in $1000) and advertising (in $) resulted in the
following least squares line: = 32 + 8X. This implies that an increase of $1 in advertising
is expected to result in an increase of $40 in sales. - answer- false
MAKING & IMPROVISATION |
QUESTIONS ANGROUP DECISION
MAKING & IMPROVISATION D
ANSWERS | 2026 UPDATE | WITH
COMPLETE SOLUTIONS.
A regression analysis between sales (in $1000) and advertising (in $100) resulted in the
following least squares line: Y = 84 +7X. This implies that if advertising is $800, then the
predicted amount of sales (in dollars) is $140,000. - answer- true
A regression analysis between weight (Y in pounds) and height (X in inches) resulted in
the following least squares line: = 140 + 5X. This implies that if the height is increased
by 1 inch, the weight is expected to increase on average by 5 pounds. - answer- true
A regression analysis between sales (in $1000) and advertising (in $100) resulted in the
following least squares line: = 84 +7X. This implies that if there is no advertising, then
the predicted amount of sales (in dollars) is $84,000. - answer- true
Scatterplots are used for identifying outliers and quantifying relationships between
variables. - answer- false
The coefficients for logarithmically transformed explanatory variables should be
interpreted as the percent change in the dependent variable for a 1% percent change in
the explanatory variable. - answer- false
A negative relationship between an explanatory variable X and a response variable Y
means that as X increases, Y decreases, and vice versa. - answer- true
If the regression equation includes anything other than a constant plus the sum of
products of constants and variables, the model will not be linear. - answer- true
The primary purpose of a nonlinear transformation is to "straighten out" the data on a
scatterplot. - answer- true
A regression analysis between sales (in $1000) and advertising (in $) resulted in the
following least squares line: = 32 + 8X. This implies that an increase of $1 in advertising
is expected to result in an increase of $40 in sales. - answer- false
