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The Network Shown Is Assembled with Uncharged Capacitors X,YX , Y

question 85

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The network shown is assembled with uncharged capacitors X,YX , Y , and ZZ , with CX=8C X = 8 .- μF\mu F , CY=9.μFC _ { Y } = 9 . - \mu F and CZ=1.0μFC _ { Z } = 1.0 \mu F . The switches S1S _ { 1 } and S2S _ { 2 } are initially open, and a potential difference Vab=120 VV _ { a b } = 120 \mathrm {~V} is applied between points aa and bb . After the network is assembled, switch S1\mathrm { S } _ { 1 } is then closed, but switch S2S _ { 2 } is kept open. How much charge is finally stored in capacitor YY ?
 The network shown is assembled with uncharged capacitors  X , Y , and  Z , with  C X = 8 .-  \mu F ,  C _ { Y } = 9 . - \mu F  and  C _ { Z } = 1.0 \mu F . The switches  S _ { 1 }  and  S _ { 2 }  are initially open, and a potential difference  V _ { a b } = 120 \mathrm {~V}  is applied between points  a  and  b . After the network is assembled, switch  \mathrm { S } _ { 1 }  is then closed, but switch  S _ { 2 }  is kept open. How much charge is finally stored in capacitor  Y  ?    A)   160 \mu \mathrm { C }  B)   140 \mu \mathrm { C }  C)   81 \mu \mathrm { C }  D)   110 \mu \mathrm { C }  E)   54 \mu \mathrm { C }


Definitions:

Regression Line

A statistical line of best fit that describes the relationship between one dependent variable and one or more independent variables.

Linear Regression Model

A statistical method for predicting the value of a dependent variable based on the value(s) of one or more independent variables, assuming a linear relationship.

Slope

Refers to the measure of the steepness, incline, or grade of a line, indicating the rate at which the dependent variable changes over the independent variable.

Residuals

Differences between observed and predicted values in a statistical model, representing unexplained variation.

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