Question

In: Statistics and Probability

Lets say Y=a+bX1+cX2+dX3+.......................up to n.....is the regression model (1) What would be the X1,X2,X3........Xn predictors for...

Lets say

Y=a+bX1+cX2+dX3+.......................up to n.....is the regression model

(1) What would be the X1,X2,X3........Xn predictors for house price in your neighborhood. Discuss from most important predictor to least important predictor.

(2) Similarly, What would be the predictors of your salary? Discuss in order.

Solutions

Expert Solution


Related Solutions

Lets say Y=a+bX1+cX2+dX3+.......................up to n.....is the regression model (1) What would be the X1,X2,X3........Xn predictors for...
Lets say Y=a+bX1+cX2+dX3+.......................up to n.....is the regression model (1) What would be the X1,X2,X3........Xn predictors for house price in your neighborhood. Discuss from most important predictor to least important predictor. (2) Similarly, What would be the predictors of your salary? Discuss in order.
Let X1, X2, X3, . . . be independently random variables such that Xn ∼ Bin(n,...
Let X1, X2, X3, . . . be independently random variables such that Xn ∼ Bin(n, 0.5) for n ≥ 1. Let N ∼ Geo(0.5) and assume it is independent of X1, X2, . . .. Further define T = XN . (a) Find E(T) and argue that T is short proper. (b) Find the pgf of T. (c) Use the pgf of T in (b) to find P(T = n) for n ≥ 0. (d) Use the pgf of...
In a multiple linear regression model with 2 predictors (X1and X2),                               &n
In a multiple linear regression model with 2 predictors (X1and X2),                                TRUE     or     FALSE In a multiple linear regression model with 2 predictors (X1and X2), then SSR(X1)+SSR(X2|X1) = SSTO–SSE(X1,X2)   TRUE     or    FALSE In a multiple linear regression model with 2 predictors (X1and X2), if X1and X2are uncorrelated, SSR(X1) = SSR(X1|X2).       TRUE     or    FALSE In a multiple linear regression model with 2 predictors (X1and X2), SSR(X1) + SSR(X2|X1) = SSR(X2) + SSR(X1|X2).       TRUE     or    FALSE In simple linear regression, then (X’X)-1is  2x2.    TRUE    or     FALSE In simple linear regression, the hat-matrix is 2x2.    TRUE    or     FALSE
Suppose we have a random sample of n observations {x1, x2, x3,…xn}. Consider the following estimator...
Suppose we have a random sample of n observations {x1, x2, x3,…xn}. Consider the following estimator of µx, the population mean. Z = 12x1 + 14x2 + 18x3 +…+ 12n-1xn−1 + 12nxn Verify that for a finite sample size, Z is a biased estimator. Recall that Bias(Z) = E(Z) − µx. Write down a formula for Bias(Z) as a function of n and µx. Is Z asymptotically unbiased? Explain. Use the fact that for 0 < r < 1, limn→∞i=1nri...
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.
Let X = ( X1, X2, X3, ,,,, Xn ) is iid, f(x, a, b) =...
Let X = ( X1, X2, X3, ,,,, Xn ) is iid, f(x, a, b) = 1/ab * (x/a)^{(1-b)/b} 0 <= x <= a ,,,,, b < 1 then, find a two dimensional sufficient statistic for (a, b)
A regression model of the form y = beta0 + beta1 x1 + beta2 x2 +...
A regression model of the form y = beta0 + beta1 x1 + beta2 x2 + beta3 x3 + E was built using 20 observations. Partially completed regression output tables are provided below. What are the values of A, B, and C? Table 1 Statistic Value R-Square A Adjusted R-Square B Standard Error (RMSE) C n 20 Table 2 Source DF SS MS F P-Value Regression D 175 H J K Error E G I Total F 250 A regression...
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?
(1) z=ln(x^2+y^2), y=e^x. find ∂z/∂x and dz/dx. (2) f(x1, x2, x3) = x1^2*x2+3sqrt(x3), x1 = sqrt(x3),...
(1) z=ln(x^2+y^2), y=e^x. find ∂z/∂x and dz/dx. (2) f(x1, x2, x3) = x1^2*x2+3sqrt(x3), x1 = sqrt(x3), x2 = lnx3. find ∂f/∂x3, and df/dx3.
Using the data, determine whether the model using (x1, x2, x3, x4) to predict y is...
Using the data, determine whether the model using (x1, x2, x3, x4) to predict y is sufficient, or should some or all other predictors be considered? Write the full and reduced models, and then perform the test. Show your work and state your conclusion, but you do not need to specify your hypothesis statements. y 60323 61122 60171 61187 63221 63639 64989 63761 66019 67857 68169 66513 68655 69564 69331 70551 x1 83 88.5 88.2 89.5 96.2 98.1 99 100...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT