Project for module 4 Base on the given data uploaded, will you conclude that the number of bathroom of houses is a significant factor for house price? I your answer is affirmative, then explain how the house price is influenced by the number of bathroom? ANOVA listprice Sum of Mean Squares df Square F Sig Between 2135094.123 2 1067547.06 8.985 <.001 groups within total anova effect sizes confidence interval point estimate lower upper listpriceta-squared .067 e epsilon-squared .246 .027 omega-squared fixed- .242 .014 .259 random-effect a. eta-squared and are estimated based on the fixed-effect model. listprice student-newman-keulab>