Solve for the predicted values of y and the residuals for the following data. 143 114 104 92 65 32 23 y 25 9. 50 73 87 113 130 (Do not round the intermediate values. Round your answers to 3 decimal places, e.g. 15.253. using either a negative sign preceding the number e.g. -15.253 or parentheses e.g. (15.253).) Predicted of y Residuals 143 25 114 9 104 50 92 73 65 87 32 113 23 130

Q: 2(3y-5)=34

A: We will see the ans in next step

Q: w + 4 w + 10 6. 8.

A:

Q: -4(7j+2)=10

A: Given expression,

Q: (b) please ?

A: Find the last three digits of 9^30 (Please use Euler's Theorem AND the Chinese Reminder Theorem)…

Q: Evaluate 2(L+W) for L= 1 and W = 4.

A: Given L=1W=4

Q: 3r² – 24r + 48 =

A:

Q: (d) 1 0, 元”V元”V元 4 an =

A:

Q: N =   Q + 1     for Q              Q

A: Given: N=Q+1Q

Q: 3n+20=15

A: solve the given 3n+20=15

Q: (-12)+7

A: To simplify any expression involving numbers we need to use the BODMAS rule which specifies the…

Q: t(r) dr

A:

Q: 2(a+3)= -12

A: Solution: Here 2(a+3) =-12

Q: An organization develops a linear regression model to forecast sales. Below are the results of the…

A: The regression equation is Y = 0.332167832(X) + 12.42424242.

Q: w2+7w+12=0

A: w2+7w+12=0 Solve by factoring

Q: (v-4)2

A:

Q: 2a+3a=c

A:

Q: Find

A: We know that,                         ∫1xdx=lnx+ c We need to find  ∫4xdx

Q: P = C(1 + m) for m (business, value depreciation of equipment)

A: