Perform a linear regression on the number of recreational trips made, using a $10\%$ significance level to identify relevant variables.

On average, how many trips would you expect a household of four members to make in a given month, assuming two of them are children under $12,$ one of them is a worker, they own two vehicles, and their annual income is $$56,000?$

What is the effect on the number of recreational trips if the household size is increased by one?

Your supervisors are curious about the role household size and composition plays in recreational tripmaking. However, they haven't taken any courses in statistics or engineering $($that$\text{'}$s why they hired you as a specialist!$).$ Answer their question without using any technical or mathematical language.

$\backslash$table$[[$ID$,$Household size,Children under $12,$Workers,Vehicles,Income $(\frac{\text{\$}}{y}r),$Recreational trips$],[1,1,0,0,1,7000,0\mathrm{.}9],[2,2,0,1,2,18000,1\mathrm{.}0],[3,5,0,1,0,49000,2\mathrm{.}2],[4,2,0,1,1,32000,1\mathrm{.}4],[5,5,1,2,2,36000,2\mathrm{.}7],[6,2,0,1,1,30000,1\mathrm{.}3],[7,4,0,2,3,59000,1\mathrm{.}2],[8,2,0,1,2,38000,1\mathrm{.}2],[9,3,1,0,1,34000,2\mathrm{.}9],[10,3,1,1,3,47000,2\mathrm{.}7],[11,5,0,0,1,34000,2\mathrm{.}1],[12,2,0,1,0,27000,0\mathrm{.}8],[13,4,0,0,1,28000,1\mathrm{.}8],[14,3,0,0,2,55000,2\mathrm{.}1],[15,2,0,0,1,23000,1\mathrm{.}3]]$