D Question 22 1.5 pts The following is the regression output obtained by regressing the sale price of a house in $1000s ("price") on the number of bedrooms in the house ("bdrms"): SUMMARY OUTPUT Regression Statistics Multiple R 0.508083517 R Square 0.25814886 Adjusted R 0.249522684 Standard Error 88.98075393 Observations 88 ANOVA dif SS MS Significance F Regression 236943.0953 236943.0953 29.92622212 4.34426E-07 Residual 86 680911.413 7917.57457 Total 87 917854.5083 Coefficients Standard Error Stat P-value Lower 95% Upper 95% Intercept 72.23111181 41.55326716 1.738277559 0.085740975 -10.37404935 154.836273 bdrms 62.02456421 11.3380345 5.470486461 4.34426E-07 39.4852976 84.56383081 We are interested in testing if the number of bedrooms in the house has a statistically significant effect on its average sale price at a 1% significance level. Which of the following is the appropriate conclusion? O no, not different from zero with 95% confidence O no, not different from zero with 99% confidence O not enough information O yes, different from zero with 99% confidence