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Regression for Growth Driver Estimation

Medium

Statistics & Probability

Asked at 1 company1CorrelationRegressionCausal Inference

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Problem

Scenario

You are analyzing whether exposure to a new in-app rider promotion is associated with higher 7-day ride completion. Using user-level data from 8,000 users, you fit a linear probability regression: $Y_i = \beta_0 + \beta_1 Promo_i + \beta_2 PriorRides_i + \beta_3 AppOpens_i + \beta_4 CityTier2_i + \epsilon_i$ , where $Y_i=1$ if the user completed a ride within 7 days. The estimated coefficient on $Promo_i$ is 0.018 with standard error 0.006, and the model intercept is 0.112.

Question

How would you interpret the regression result, test whether the promotion has a statistically significant effect on 7-day ride completion, and explain what this does and does not imply for product growth decisions?

Sample Data

Example 1

Input

{"alpha":0.05,"beta_0":0.112,"se_promo":0.006,"beta_promo":0.018,"sample_size":8000,"beta_app_opens":0.007,"beta_city_tier2":-0.009,"beta_prior_rides":0.004}

Output(none)

Problem

Scenario

Question

Sample Data

Example 1

Input

{"alpha":0.05,"beta_0":0.112,"se_promo":0.006,"beta_promo":0.018,"sample_size":8000,"beta_app_opens":0.007,"beta_city_tier2":-0.009,"beta_prior_rides":0.004}

Output(none)

Your answer

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Method Selection for Growth AnalysisEasy

Correlation vs Causation in PromotionsEasy LPower Lyft Rider Promo TestHard

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Regression for Growth Driver Estimation

Medium

Statistics & Probability

Asked at 1 company1CorrelationRegressionCausal Inference

Also asked at

Problem

Scenario

Question

Sample Data

Example 1

Input

{"alpha":0.05,"beta_0":0.112,"se_promo":0.006,"beta_promo":0.018,"sample_size":8000,"beta_app_opens":0.007,"beta_city_tier2":-0.009,"beta_prior_rides":0.004}

Output(none)

Problem

Scenario

Question

Sample Data

Example 1

Input

{"alpha":0.05,"beta_0":0.112,"se_promo":0.006,"beta_promo":0.018,"sample_size":8000,"beta_app_opens":0.007,"beta_city_tier2":-0.009,"beta_prior_rides":0.004}

Output(none)

Your answer

Try one AI text evaluation on us

Get structured feedback, scored against a 4-axis rubric. Premium unlocks unlimited.

0 wordstarget ~200

Up next

Method Selection for Growth AnalysisEasy

Correlation vs Causation in PromotionsEasy LPower Lyft Rider Promo TestHard

Next question