A boat manufacturer at Port Canaveral hired an analyst to estimate boat demand. The model is fit for 32 consecutive quarters. The analyst's task is to build a simple model for prediction. The variables are

boatsale = Quarterly Boat Sales

gasprice = gas price in cents

Unemp% = unemployment rate in percent

The regression equation is

boatsale = 1068 - 2.45 gasprice - 8.15 unemp%

Predictor Coef SE Coef T P

Constant 1067.66 99.98 10.68 0.000

Gasprice -2.4451 0.3254 -7.52 0.000

unemp% -8.148 5.689 -1.43 0.163

S = 39.0181 R-Sq = 71.1% R-Sq(adj) = 69.1%

Analysis of Variance

Source DF SS MS F P

Regression 2 108621 54311 35.67 0.000

Residual Error 29 44150 1522

Total 31 152771

The margin of error for your prediction in the previous question is ___ (round to nearest whole number)

Please give me the correct answer with step by step explanation and conclusion.