Answer:
112.569 ( D )
Step-by-step explanation:
Applying the estimated Regression Equation
y = b1X1 + b2X2 + a
b1 = ((SPX1Y)*(SSX2)-(SPX1X2)*(SPX2Y)) / ((SSX1)*(SSX2)-(SPX1X2)*(SPX1X2)) = 596494.5/635355.88 = 0.93884
b2 = ((SPX2Y)*(SSX1)-(SPX1X2)*(SPX1Y)) / ((SSX1)*(SSX2)-(SPX1X2)*(SPX1X2)) = 196481.5/635355.88 = 0.30925
a = MY - b1MX1 - b2MX2 = 149.25 - (0.94*61.31) - (0.31*193.88) = 31.73252
y = 0.939X1 + 0.309X2 + 31.733
For x1 ( age ) =39, and x2(weight) =143
y = (0.93884*39) + (0.30925*143) + 31.73252= 112.569
where
Sum of X1 = 981
Sum of X2 = 3102
Sum of Y = 2388
Mean X1 = 61.3125
Mean X2 = 193.875
Mean Y = 149.25
attached is the Tabular calculation of the required values needed for estimated regression equation
Answer: 5x5x5x5
Step-by-step explanation:
5^4 is just multiplying 5 by itself 4 times
Number in the thousands place: 2
Number in the hundreds place: 4
Since 4<5, the number rounds down.
Final answer: 32,000
Answer:
In response to the above problems, the predecessors have made many efforts. ese include collaborative computing between terminal devices and cloud servers [6][7][8], model compression and parameter pruning [9][10][11][12], or customized mobile implementation [13][14][15]. Despite all these efforts made by the predecessors, on the premise of ensuring the accuracy of the model required by the user, the service latency is minimized, and the user's hardware configuration and system status can be sensed to implement automatic model pruning and partition. ...
Step-by-step explanation:
I hope it will help you
Answer:
C. 14 inches
Step-by-step explanation:
The perimeter is double the sum of length and width:
P = 2((4a +3) +(6b -2) = 8a +12b +2
For the given values, this is ...
P = 8(0.75) +12(0.50) +2 = 6 + 6 + 2 = 14
The perimeter is 14 inches.
