Question

the scatterplot and regression line below show the average income, in dollars, in several major american cities plotted against the rent for a 2 - bedroom apartment in those cities. the fitted line has a slope of 0.031. what is the best interpretation of this slope? choose 1 answer: a on average, each $1 increase in average income was associated with a $0.031 increase in average rent. b on average, each $0.031 increase in average income was associated with a 1 point increase in average rent. c we would predict a city whose average income was $0 to have an average rent of $0.031. d we would predict a city whose average income was $0 to have an average rent of $0.

Explanation:

In a regression - line context, the slope represents the change in the response variable (average rent) for a one - unit change in the explanatory variable (average income). Here, the response variable is average rent and the explanatory variable is average income. So, for every $1 increase in average income, on average, the average rent increases by $0.031.

Answer:

A. On average, each $1 increase in average income was associated with a $0.031 increase in average rent.