Question 1 A multiple regression was conducted to predict the price of yachts in thousands of dollars. A dummy variable was included to indicate whether or not the yacht has a flying bridge, where 0 means "no" and 1 means "yes." Regression Statistics Multiple R 0.890579188 R Square 0.793131289 Adjusted R Square 0.7379663 Standard Error 30.28395534 Observations 20 ANOVA SS MS F Regression 4 52743.23074 13185.80768 14.37743932 Residual 15 13756.76926 917.1179509 Total 19 66500 Standard Coefficients Error t Stat P-value Intercept 73.33291 62.25276 1.17799 0.25715 Age -0.13882 0.05353 -2.59326 0.02037 Length 3.73984 0.95568 3.91328 0.00138 Nav Eqp 0.37644 0.16876 2.23061 0.04140 Flying Bridge 17.70752 15.57847 1.13667 0.27351 Which of the following statements is correct using the 0.10 level of significance? Whether or not the yacht has a flying bridge does not significantly affect the price of a yacht, given the other variables present. Having a flying bridge significantly increases the price of a yacht by an average of $17.7, given the other variables present. We can tell that 17 out of 20 yachts have a flying bridge. Having a flying bridge significantly increases the price of a yacht by an average of $17,708. given the other variables present