MGSC 310 MIDTERM (ACTUAL EXAM)
WITH 180+ QUESTIONS WITH VERY
ELABORATED ANSWERS CORRECTRY WELL
ORGANIZED LATEST 2024 – 2025 ALREADY
GRADED A+
p-values
-tells us the likelihood that, if the null hypothesis were true, we would receive a
result as extreme as the one seen
-This is a measure that helps us determine the strength of the results of our
experiment. A small p-value (< 0.05) indicates that we can reject the null
hypothesis. The smaller, the better.
-The issue is with a 0.05 threshold we may lead to show showing relationships
that don't exist
Log-log regression and interpretation
, -Both Dependent and Independent are Logged
-A 1% increase in the independent variable is associated with a β percentage
change in the expected value of the dependent variable, holding all else constant.
-No multiplication by 100, read both variables as percent
Log-linear regression and interpretation
-Logged Dependent (y), Non-Logged Independent (x)
Linear Regression basics
-statistical process of estimating relationship between an outcome and one or
more predictors or independent variables
-Creating coefficients using independent variable/ inputs/predictors to predict the
dependent/X/output/target variable
formula: Y = f(X) + e
How are linear regression coefficients chosen?
-Sum of squares errors
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