thank you very much

Suppose you intend to run a regression of the Selliog Price ofa Home (Price) on Lot Size (Lot), House Size (House), Number of Bedrooms (Bed), and Number of Bathrooms (Bath) using a sample of 32 observations. You decide to rst check for potential multicollinear'rty. You obtain the following correlation matrinc I Lot Price House Bed Bath Lot 1 Price 0.39 1 House 0.83 0.74 1 Bed 0.24 0.33 0.34 1 Bath 0.09 0.03 0.14 0,70 1 To remedy the multicoliinearity problem caused by a pair of independem variables. it is conventional to drop one of those which delivers a larger pvalue. Which independent variable should be dropped according to this rule? Select one: 0 a. Price 0 b. Lot 0 c. House 0 (:1. Bed 0 e. We don't have enough information to make such decision