Answer the following question based on this situation: You run standard multiple regression on your variables (dependent Q; independents A, B, C, and D). The resulting regression output is the following:

	Coefficients	Standard Error	P-value (or Sig value)	Lower 95%	Upper 95%
Intercept	50.971	1.273	4.094E-06	524.04117	1091.796
A	- 0.625	0.061	4.341E-11	-5.9751292	-4.09374
B	0.175	0.020	5.737E-05	2.7893473	6.931397
C	0.555	0.044	4.292E-03	0.1129530	0.543153
D	- 0.0009	0.035	2.384E-08	0.0064627	0.010948

Based on the regression model created from the above output,

Group of answer choices

when dependent variable D increases by one unit, independent variable Q will decrease by 0.0009 units.

when independent variable D increases, dependent variable Q will decrease by 0.0009 units.

when independent variable D increases by one unit, dependent variable Q will decrease by 0.0009 units.

when independent variable D increases, dependent variable Q will increase by 0.0009 units.

when independent variable D increases by one unit, independent variable Q will increase by -0.0009 units.