The Seattle Real Estate Market: Data area vailable on a number of recent home sales in 3 different cities inthe Seattle, WA area. A regression model has been developed topredict selling price (in thousands of USD) based on the number of bedrooms, the number of bathrooms, and the total living area (insqft.) as well as the city within which the property resides(either Bellevue, Renton, or Seattle).

ANOVA
	df	SS	MS	F-Statistic	p-value
Regression	5	21,243,625	4,248,725
Residual	180	7,325,363	40,696
Total	185	28,568,988
	Coefficients	Standard Error	t-Statistic	p-value
Intercept	200.824	61.332
Bedrooms	-53.473	20.074
Bathrooms	20.264	31.315
Bellevue	62.114	44.077
Renton	-265.282	42.166
Living Area	0.280	0.027

The coefficient for BEDROOMS is negative, which seems counterintuitive. Describe the BEST explanation for this result.