During the process of best forward subset selection, the variable lat is the second variable added to the model, ahead of variables like number of bedrooms or year of construction which might reasonably be expected to impact on price. Based on the graphs shown below and your own best forward subset selection, which of the following reasons contribute to high influence of lat on house price? Select all that apply.

Two scatter plots showing house price versus longitude and latitude.

A few specific houses in a particular neighbourhood are disproportionately expensive compared to the rest of the data set.

Variables like number of floors, bedrooms, bathrooms etc. correlate with total living space.

Houses at lower latitudes get more sunlight.

The range of observations in lat is greater than the range of observations in long.

Zipcode is not a continuous real$-$valued variable.

Only a spatial variable can account for the impact of location on price.