Suppose you were asked to investigate which predictors explain the number of minutes that 10- to18-year-old...

60.1K

Verified Solution

Question

Basic Math

Suppose you were asked to investigate which predictors explainthe number of minutes that 10- to18-year-old students spend onTwitter. To do so, you build a linear regression model with Twitterusage (Y) measured as the number of minutes per week. The fourpredictors you include in the model are Height, Weight, GradeLevel, and Age of each student. You build four simplelinear regression models with Y regressed separately on eachpredictor, and each predictor is statistically significant. Thenyou build a multiple linear regression model with Y regressed onall four predictors, but only one predictor, Age, is statisticallysignificant, and the others are not. What is likely going on amongthe four predictors? If you include more than one of thesepredictors in the model, what are some problems that canresult?

Answer & Explanation Solved by verified expert

3.7 Ratings (518 Votes)

Answer Here the presumption in regression issues is indicators ought not have multicollinearity Since when you manufacture straight relapse model with Y relapsed independently on each predictorx at that point you have just a See Answer

Get Answers to Unlimited Questions

Join us to gain access to millions of questions and expert answers. Enjoy exclusive benefits tailored just for you!

Membership Benefits:

Unlimited Question Access with detailed Answers
Zin AI - 3 Million Words
10 Dall-E 3 Images
20 Plot Generations
Conversation with Dialogue Memory
No Ads, Ever!
Access to Our Best AI Platform: Flex AI - Your personal assistant for all your inquiries!

Become a Member