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MGT 6203 MIDTERM PART 2– SOLUTION KEY CODING QUESTIONS with ANSWERS update!! $22.99
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MGT 6203 MIDTERM PART 2– SOLUTION KEY CODING QUESTIONS with ANSWERS update!!

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MGT 6203 MIDTERM PART 2– SOLUTION KEY CODING QUESTIONS with ANSWERS update!!

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  • October 16, 2024
  • 5
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • MGT 6203
  • MGT 6203

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By: Studyplug • 4 hours ago

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CodedNurse
10/16/24, 10:28 AM MGT 6203 MIDTERM PART 2– SOLUTION KEY CODING QUESTIONS with ANSWERS 2024-2025 update!! Flashcards | …




MGT 6203 MIDTERM PART 2– SOLUTION KEY
CODING QUESTIONS with ANSWERS 2024-2025
update!!


Terms in this set (63)


ordinary least squares sum of squared error
minimize

indicator variable aka dummy variables

An independent variable in a regression model that
interaction term
is the product of two explanatory variables.

interaction term is used how the synergies between multiple variables
to model impact the response variable

R2 will always never you add more parameters
decrease as

the mean of a variable FALSE
that has a right-skewed
distribution is smaller
than the median (T/F)

the correlation FALSE
coefficient can capture
the strength of both
linear and non-linear
relationships (T/F)

sigma aka homoscedasticity

t-value of regression coef est / std error
output =

null hypothesis of coef = 0
regression

total deviation yi - mean(y)

https://quizlet.com/957959246/mgt-6203-midterm-part-2-solution-key-coding-questions-with-answers-2024-2025-update-flash-cards/?new 1/5

, 10/16/24, 10:28 AM MGT 6203 MIDTERM PART 2– SOLUTION KEY CODING QUESTIONS with ANSWERS 2024-2025 update!! Flashcards | …

explained deviation y_hat i - mean(y)

error aka residual yi - yhat i

multicollinearity Variance inflation factor (VIF); correlation matrix
detection methods

categorical variable with M-1
M categores = __ # of
dummy variables

1) make a distribution more normal 2) make the
possible reasons to apply
variance more constant 3) get a better fit in the
log transformation
model

elasticity beta one

polynomial regression TRUE
provides a better
approximation of the
relationship between the
dependent and
independent variable
(T/F)

presence of outliers can TRUE
greatly influence results
of the non-linear analysis
(T/F)

the fitted model is more TRUE
reliable when it is built on
a large sample size n
(T/F)

interpreting polynomials it is not possible or meaningful to hold x^2 constant

increasing x by 1% is .01
almost equivalent to
increasing natural log(x)
by ___ units

log transformation with log(x+c+1) where c is the absolute value of the most
negative and zero values negative number
in the data


https://quizlet.com/957959246/mgt-6203-midterm-part-2-solution-key-coding-questions-with-answers-2024-2025-update-flash-cards/?new 2/5

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