Skip to main content
All Questions

Regressing Y on X1 alone gives R^2 = 0.01, and regressing Y on X2 alone also gives 0.01. What range of R^2 is possible when Y is regressed on X1 and X2 together?

Unlock detailed company stats for this questionUpgrade
All regressions include an intercept.

Community answers

No answers contributed by the community yet.

Related questions

Regressing y on x1 alone gives an R squared of 0.3, and regressing y on x2 alone gives 0.02. What range of R squared is possible when y is regressed on x1 and x2 together?Regressing Y on X1 alone gives R^2 = 0.1; regressing Y on X2 alone gives R^2 = 0.2. What is the maximum possible R^2 when Y is regressed on X1 and X2 together?Regressing y on X1 by OLS gives R^2 = 0.15; regressing y on X2 gives R^2 = 0.20. What are the lower and upper bounds on the R^2 of the regression of y on X1 and X2 together?

Related courses

Course

SQL Interview Prep Course

Prepare for SQL interviews with lessons on joins, aggregations, and window functions, then practice real SQL interview questions in an interactive editor with expert solutions.

Course

Data Science Interview Prep

Land your dream data science role at Google, Amazon, Microsoft, Meta, Apple, and other top companies. Learn from mock interviews, frameworks, and advice from senior candidates. Practice statistics, experimentation, coding, SQL, machine learning, behavioral interviews, and more.