I am very new to linear regression analysis and I am trying to solve my first examples, most of the examples I have come across contained some tables and data where I could easily use the formulas I know and solve them. However, I have just come across an example that does not have much data and I have no idea where I should start and which formulas I should use to initiate.
we assume that the number of schoolchildren's close relationship has a linear association with the likelihood (0-100%) that a child becomes bullied in the classroom. We build a regression model where we predict the likelihood of becoming bullied with the number of friends. We found out that if a child has no friends, the likelihood of being bullied is 70%. We also know that the regression coefficient (beta) for the variable 'number of friends' is -10.
This question is asking me to write the regression equation and also predict the likelihood of being bullied if the child has 14 friends.
Shouldn't I simply use the following formula? But isn't something missing in the question? ŷ = β0 + β1x