Question

In: Statistics and Probability

X1 X2 X3 Sales 0.12 300000.00 42000.00 250000.00 0.13 310000.00 43000.00 255000.00 0.11 315000.00 44000.00 258000.00...

X1

X2

X3

Sales

0.12

300000.00

42000.00

250000.00

0.13

310000.00

43000.00

255000.00

0.11

315000.00

44000.00

258000.00

0.09

312000.00

40000.00

248000.00

0.10

311000.00

41000.00

246000.00

0.13

324000.00

42000.00

250000.00

0.12

325000.00

44000.00

256000.00

0.11

327000.00

45000.00

257000.00

0.11

329000.00

45000.00

263000.00

0.09

332000.00

46000.00

270000.00

0.08

335000.00

47000.00

280000.00

0.08

339000.00

48000.00

290000.00

0.07

341000.00

51000.00

310000.00

0.08

342000.00

52000.00

315000.00

0.11

339000.00

49000.00

290000.00

0.12

327000.00

45000.00

?????

1. What is the sales forecast for period 16?

2. Is the forecast statistically significant? Which variable has the largest impact on sales?

2. If this is a forecast for a brick and mortar retailer, what would be the sales forecast if X3 (square feet) was set to 0?

Solutions

Expert Solution


Related Solutions

4.Maximize: Z = 2X1+ X2-3X3 Subject to: 2X1+ X2= 14 X1+ X2+ X3≥6 X1, X2, X3≥0...
4.Maximize: Z = 2X1+ X2-3X3 Subject to: 2X1+ X2= 14 X1+ X2+ X3≥6 X1, X2, X3≥0 Solve the problem by using the M-technique.
(a) Consider three positive integers, x1, x2, x3, which satisfy the inequality below: x1 +x2 +x3...
(a) Consider three positive integers, x1, x2, x3, which satisfy the inequality below: x1 +x2 +x3 =17. (1) Let’s assume each element in the sample space (consisting of solution vectors (x1, x2, x3) satisfying the above conditions) is equally likely to occur. For example, we have equal chances to have (x1, x2, x3) = (1, 1, 15) or (x1, x2, x3) = (1, 2, 14). What is the probability the events x1 +x2 ≤8occurs,i.e.,P(x1 +x2 ≤8|x1 +x2 +x3 =17andx1,x2,x3 ∈Z+)(Z+...
Let X1, X2, X3 be continuous random variables with joint pdf f(X1, X2, X3)= 2 if...
Let X1, X2, X3 be continuous random variables with joint pdf f(X1, X2, X3)= 2 if 1<X1<2 -1<X2<0 -X2-1<X3<0                         0 otherwise Find Cov(X2, X3)
Let X1,X2,X3 be i.i.d. N(0,1) random variables. Suppose Y1 = X1 + X2 + X3, Y2...
Let X1,X2,X3 be i.i.d. N(0,1) random variables. Suppose Y1 = X1 + X2 + X3, Y2 = X1 −X2, Y3 =X1 −X3. Find the joint pdf of Y = (Y1,Y2,Y3)′ using : Multivariate normal distribution properties.
Does the input requirement set V (y) = {(x1, x2, x3) | x1 + min {x2,...
Does the input requirement set V (y) = {(x1, x2, x3) | x1 + min {x2, x3} ≥ 3y, xi ≥ 0 ∀ i = 1, 2, 3} corresponds to a regular (closed and non-empty) input requirement set? Does the technology satisfies free disposal? Is the technology convex?
DEBT ROA CURRENT ASSET BANKRUPT -0.58 0.14 5.06 0.13 No 0.12 0.11 1.14 0.17 No -0.23...
DEBT ROA CURRENT ASSET BANKRUPT -0.58 0.14 5.06 0.13 No 0.12 0.11 1.14 0.17 No -0.23 -0.30 0.33 0.28 Yes 0.48 0.19 1.24 0.18 No 0.16 0.05 2.01 0.20 No 0.07 0.02 1.31 0.25 Yes -0.07 -0.09 1.45 0.26 Yes -0.14 -0.03 0.46 0.26 No 0.15 0.05 1.88 0.27 No -0.14 -0.07 0.71 0.28 Yes 0.20 -0.08 1.59 0.30 No 0.19 0.15 2.25 0.33 No 0.07 -0.01 1.37 0.34 Yes 0.38 -0.11 3.27 0.35 Yes -0.02 0.02 2.05 0.35 No...
Let U = {(x1,x2,x3,x4) ∈F4 | 2x1 = x3, x1 + x4 = 0}. (a) Prove...
Let U = {(x1,x2,x3,x4) ∈F4 | 2x1 = x3, x1 + x4 = 0}. (a) Prove that U is a subspace of F4. (b) Find a basis for U and prove that dimU = 2. (c) Complete the basis for U in (b) to a basis of F4. (d) Find an explicit isomorphism T : U →F2. (e) Let T as in part (d). Find a linear map S: F4 →F2 such that S(u) = T(u) for all u ∈...
Suppose X1,  X2,  X3 are i.i.d. Exp( λ ), and that we observe the realizations X1 = 1.0,  X2...
Suppose X1,  X2,  X3 are i.i.d. Exp( λ ), and that we observe the realizations X1 = 1.0,  X2 = 2.0, and X3 = 3.0. What is the maximum likelihood estimate of Pr(X1> 2)? Please explain your steps/answers if possible.
let X1, X2, X3 be random variables that are defined as X1 = θ + ε1...
let X1, X2, X3 be random variables that are defined as X1 = θ + ε1 X2 = 2θ + ε2 X3 = 3θ + ε3 ε1, ε2, ε3 are independent and the mean and variance are the following random variable E(ε1) = E(ε2) = E(ε3) = 0 Var(ε1) = 4 Var(ε2) = 6 Var(ε3) = 8 What is the Best Linear Unbiased Estimator(BLUE) when estimating parameter θ from the three samples X1, X2, X3
By using Big-m method Minimize z=4x1+8x2+3X3subject to x1+x2>=2, 2x1+x3>=5 and x1,x2,x3>=0
By using Big-m method Minimize z=4x1+8x2+3X3subject to x1+x2>=2, 2x1+x3>=5 and x1,x2,x3>=0
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT