How do i construct and interpret a 95% confidence interval for the selling price for any fixed size, age, quality and land-to-building ratio?

Use the JMP output below to answer questions 18 - 21. Summary of Fit Model Number RSquare RMSE Cp RSquare 0.5542 1.1477 3.3835 0.787311 Quality RSquare Adj Age 1 0.3243 1.4130 7.7069 0.574622 Root Mean Square Error 9.1541 1.048778 Size 1 0.2474 1.4913 Mean of Response 5.151111 1 0.1317 1.6019 11.3296 Observations (or Sum Wgts) L-To-B Ratio 9 2.2125 Size, Quality 2 0.7228 0.9775 Analysis of Variance 0.5921 1.1859 4.6717 Age, Quality 2 Sum of 0.5713 1.2157 5.0618 Source DF Quality,L-To-B Ratio F Ratio 2 Squares Mean Square 5.9787 Model 16.286544 4.07164 3.7017 Size, Age 2 0.5226 1.2830 Error Size, Quality,L-To-B Ratio 3 0.7590 0.9985 3.5320 4.399745 1.09994 Prob > F C. Total 8 20.686289 0.1165 Size, Age, Quality 0.7553 1.0061 3.6018 W W 0.6105 1.2694 6.3253 Parameter Estimates Age, Quality,L-To-B Ratio Size,Age,L-To-B Ratio W 0.5230 1.4048 7.9703 Term Estimate Std Error t Ratio Prob> |t] VIF Intercept 6.85238 5.136815 1,33 0.2531 Size,Age, Quality,L-To-B 4 0.7873 1.0488 5.0000 Size -7.871e-7 4317e-7 -1.82 0.1423 1.8264411 Ratio Age -0.101392 0.139008 -0.73 0.5062 1.4327361 Quality 1.0711663 0.480471 2.23 0.0897 1.5857461 L-To-B Ratio -0.225208 0.290314 -0.78 0.4812 2.00563419. Construct and interpret a 95% Confidence Interval for the standard deviation of selling price for any fixed size, age, quality, and land to building ratio. 4 + 2 365 ( 1. 0 9 9 921)