Assess techniques like ridge, elastic net, PCA, and channel aggregation that stabilise models when predictors are highly correlated.
Multicollinearity inflates the variance of ______ estimates.
impression
creative
coefficient
bounce
Variance Inflation Factor (VIF) above ______ signals problematic collinearity.
5‑10
1
100
0.1
Ridge regression mitigates multicollinearity by adding a penalty on ______ magnitude.
cookie
coefficient
error
spend
Elastic Net combines L1 and L2 penalties, enabling both shrinkage and ______.
creative rotation
feature selection
CPC inflation
impression share
Principal Component Analysis addresses collinearity by creating ______ predictors.
orthogonal
duplicate
scaled
segmented
Aggregating highly correlated channels into a single meta‑channel reduces collinearity but sacrifices ______ granularity.
time‑series
creative
device
channel‑level
Stepwise variable selection can exacerbate collinearity by repeatedly choosing variables based on ______.
marginal fit
creative freshness
pixel load
CTR
Centering variables (subtracting mean) does ______ to the correlation matrix.
invert
nothing
increase
zero out
High correlation among spend series often arises from simultaneous ______.
creative swaps
domain changes
pixel outages
campaign bursts
The 2025 MMM Guide suggests using elastic net with cross‑validated penalty alpha to balance bias and ______.
creative score
cookie match
variance
reach
Starter
Review the basics.
Solid
Nice work—refine the details.
Expert!
Exceptional command of the topic.
Multicollinearity Remedies Interview Questions are key to spotting when predictor overlap distorts your models and learning how to fix it. Begin by reviewing the Attribution & Marketing-Mix Modelling interview questions to see how proper credit assignment relies on clean input data. Then challenge yourself with the MMM KPI alignment interview MCQs to ensure your metrics stay on track. Next, explore the adstock lag functions interview resource for strategies on handling carryover effects. Finally, wrap up your preparation with the saturation curves practice questions to master diminishing returns in your forecasts.
