A real estate agent would like to predict the selling price of a single-family house by predicting the price (in $1000) based on the square footage (in 100 square feet). Calculate a 95% confidence interval for the slope of the true regression line. Dependent variable: Y Analysis of Variance Source Model Error C total Root MSE Dep Mean C.V. DF 1 13 14 12.9965 88.8400 14.6291 Parameter Estimates Variable Intercept X DF 1 1 Sum of Squares 4034.4144 2195.8215 6230.2360 R-square Adj R-square Parameter Estimate 18.3538 3.8785 Mean Square 4034.4144 168.9093 0.6476 0.6204 Standard Error 14.8077 0.7936 F Value 23.885 T for HO: Parameter = 0 1.239 4.887 Prob>F 0.0003 Prob > T 0.2371 0.0003

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