Simple/Multiple linear regression - Austin - IPP 3 Exam 2
Authored by LECOM DE 2026
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19 questions
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1.
MATCH QUESTION
1 min • 1 pt
Match the following definitions with their
Confounder
When not maintained properly leads to bias. controlling for one variable while we change another
Regression Analysis
Any factor that prevents appropriate statistical interpretation of a results within practical context of a study
Nature experiments
Situations in which researchers must accept that some of or all of the design without modification
Bias
A form of error. statistical terms/values that do not provide an accurate representation of the population
Variable control
A statistical method that allows you to examine the relationship between two or more variables of interest
2.
MATCH QUESTION
1 min • 1 pt
Match the following definitions with their descriptions
Confounding effect
Any variable that produces a modifying effect
Inefficient
A variable that, when accounted for, leads to a meaningfully different interpretation of relationship between the primary and independent variables and the dependent variables
Effect Modification
Fundamentally different estimates then the population parameter
Omitted Variable
A specific and observable factor that is omitted from the analysis
Biased Samples
The unadjusted results when adjustments lead to changes in any estimate of variation
3.
MATCH QUESTION
1 min • 1 pt
Match the following definitions with their descriptions
Unbiased Sample
A value between 0 and 1. As it approaches 0 regression explains very little variation in y. As it approaches 1 it explains it well.
Ordinary least squares (OLS)
Vertical relationship between each data point and trendline
Mediating Effect
A intermediate between the primary independent variable and the dependent variable that can be used to analyze a relationship
Residual
Simplest process of estimation which assumes dependent variable is continous
R2
Statistical adjustments for the cofounder result in
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
An R2 close to 0 indicates a strong correlation and linear relationship
True
False
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Both confounding variables and/or omitted variables can lead to bias
True
False
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
For which of the following types of data would you use dummy variables?
Patients height
Time spent drinking coffee
Hours spent traveling
Visited another country
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
You design a study to determine if the numbers of hours watching scrubs correlates to the grade range achieved in IPP3. You also consider other factors such as location, video speed used, and average time snacking. Which of the following is the independent variable
Number of hours watching scrubs
Time snacking
Video speed used
Grade acheived
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