Yi_hat = b0 + b1*X2,i + b2*X3,i*X3,i + b3*X2,i*X3,i*X3,i
Interpret the meaning of the estimates of the model parameters in the context of the original response variable for all the combinations of the indicator variable X2 (immature and mature).
b0 = 7; b2 = 0.1
b1 = -2 (immature);b1 = 0 mature)
b3 = 0.06 (immature); b3 = 0 (mature)
Yi_hat = b0 + b1*X2,i + b2*X3,i*X3,i + b3*X2,i*X3,i*X3,i Interpret the meaning of the estimates of...
Yi_hat = b0 + b1*X2,i + b2*X3,i*X3,i + b3*X2,i*X3,i*X3,i Interpret the meaning of the estimates of the model parameters in the context of the original response variable for all the combinations of the indicator variable X2.
7.22. In the regression model Y; = Bo + B1Xi + B2(3X} – 2) +Ei, i = 1,2,3, with X1 = -1, X2 = 0, and X3 = 1, what happens to the least squares estimates of Bo and B1 when B2 = 0? Why?
Q2. Suppose you are given the following Cob-Douglas Production Y; = B1X2 X3 exp(ui) for i = 1, 2, ...,n, where B1, B2 and Bzare population parameters and the Ui are IID (0,02). Note that: Y; routput, X2i =labor input, Xzi =capital input, exp = base of the natural logarithm. (a) Transform the above non-linear model, Yį = B2X2 X : exp(ui) to a linear model (b) How do you the interpret B2? (c) How do you the interpret By?...
Other answers have not been helpful. I have to drag the
pointers(B1,B2,B3 etc) onto a place on the grid. A bunch of arrows
doesnt help. I need to know where to place the pointers and if
possible how, thanks and will upvote.
The diagram below shows three current-carrying wires. All three wires carry the same current, but in different directions, as indicated. A B C D E Drag each marker to the location of the head of the corresponding magnetic...
ek-tin
Based on the following regression output, what proportion the total variation in Y is explained by X? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA di SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 Residual 8 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 0.917214 o b.9.385572...
Hello, i want to ask you Inventory cost
=3.6(B1+B2)/2+3.75(B2+B3)/2+3.98(B3+B4)/2+4.28(B4+B5)/2+4.2(B5+B6)/2+3.9(B6+B7)/2,
So, how to compute 3.6, 3.75, 3.98, 4.28, 4.2? And why 3.6X(B1+B2)
and divide by 2? Also, i want to ask the objective function for
this problem why is minimize, not maximize? Thank you for your
help!
The Upton Corporation manufactures heavy-duty air compressors for the home and light industrial markets. Upton is presently trying to plan its production and inventory levels for the next six months. Because of seasonal fluctuations...
Consider a multiple regression model of the dependent variable y on independent variables x1, X2, X3, and x4: Using data with n 60 observations for each of the variables, a student obtains the following estimated regression equation for the model given: y0.35 0.58x1 + 0.45x2-0.25x3 - 0.10x4 He would like to conduct significance tests for a multiple regression relationship. He uses the F test to determine whether a significant relationship exists between the dependent variable and He uses the t...
4. Testing for significance Aa Aa Consider a multiple regression model of the dependent variable y on independent variables x1, x2, X3, and x4: Using data with n = 60 observations for each of the variables, a student obtains the following estimated regression equation for the model given: 0.04 + 0.28X1 + 0.84X2-0.06x3 + 0.14x4 y She would like to conduct significance tests for a multiple regression relationship. She uses the F test to determine whether a significant relationship exists...
As a statistical consultant, you have been asked to develop a linear model which shall be given to first year executive MBA students. Variable Name Description X1 Gender Male or Female X2 GMAT Score Score on GMAT Test X3 College Degree Previously Earned Bachelors, Masters, or PhD Y Income Annual Income in Thousand Dollars Where 1=Male and 2= Female for X1 and B = Bachelors Degree, M=Master’s Degree, and P= PhD for X3. Given this data, recode the variables...
3. Description of each X and data for 27 franchise stores are given below The data (X1, X2, X3, X4, X5, X6) are for each franchise store. X1 annual net sales/$1000 X2 number sq. ft/1000 X3 - inventory I$1000 X4- amount spent on advertising /$1000 X5 size of sales district/1000 families X6 number of competing stores in distric X1 X2 X3 X4 X5 X6 231 3 294 8.2 8.2 11 156 2.2 232 6.9 4.1 12 10 0.5 149 3...