SCENARIO 14-9
You Decide to Predict Gasoline Prices in Different $r ^ { 2 }$

SCENARIO 14-9
You decide to predict gasoline prices in different cities and towns in the United States for your term
project. Your dependent variable is price of gasoline per gallon and your explanatory variables are
per capita income and the number of firms that manufacture automobile parts in and around the city.
You collected data of 32 cities and obtained a regression sum of squares SSR= 122.8821. Your
computed value of standard error of the estimate is 1.9549.
-Referring to Scenario 14-9, the value of adjusted $r ^ { 2 }$ is