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Question 1 Consider the following Multiple Regression Model yı BoB1B2 + El, y2 BIB2E2 y3 B2Es,...
Question 2: Suppose that we wish to fit a regression model for which the true regression...
Question 2: Suppose that we wish to fit a regression model for which the true regression line passes through the origin (0,0). The appropriate model is Y = Bx + €. Assume that we have n pairs of data (x1.yı) ... (Xn,yn). a) From first principle, derive the least square estimate of B. (write the loss function then take first derivative W.r.t coefficient etc) b) Assume that e is normally distributed what is the distribution of Y? Explain your answer...
Please help me with this question The simple bivariate model y= Bo + Bizi+ui is written...
Please help me with this question
The simple bivariate model y= Bo + Bizi+ui is written in matrix form, y = XB+u, where yi y2 11 12 po y = .B 1, and us and ... YN 1 IN the results of estimating the model are y = 20 + 30.0, where 10 200 X'X = 200 380) Use the above information to answer the following: (a) How many observations are in the data set? (b) What is the mean...
Assuming our input training data is: (Xi- 2, Y0). (X2-5, Y2-1). (X3-3. Y3-0), (X3-10. Y3-1). let ...
Logic Regression
Assuming our input training data is: (Xi- 2, Y0). (X2-5, Y2-1). (X3-3. Y3-0), (X3-10. Y3-1). let us use the logistic regression to classify the data. o a) Please write down the overall loss function for the logistic regression o b) please write down the gradient for the corresponding loss function at (x = 0).
Assuming our input training data is: (Xi- 2, Y0). (X2-5, Y2-1). (X3-3. Y3-0), (X3-10. Y3-1). let us use the logistic regression to classify the...
3) Let (x, y), (X2, y2), and (X3. Y3) be three points in R2 with X1...
3) Let (x, y), (X2, y2), and (X3. Y3) be three points in R2 with X1 < x2 < X3. Suppose that y = ax + by + c is a parabola passing through the three points (x1, yı), (x2, y), and (x3, Y3). We have that a, b, and c must satisfy i = ax + bx + C V2 = ax + bx2 + c y3 = ax} + bx3 + c Let D = x X2 1....
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1...
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1 = b2 = 0 Но: B1 B2-0 с. We have a dataset Company with three variables: Sales, employees and stores. To build a multiple linear regression model using Sales as dependent variable, number of stores and number of employees as independent variables, which of the...
Consider the multiple regression model y = X3 + €, with E(€)=0 and var(€)=oʻI. Problem 1...
Consider the multiple regression model y = X3 + €, with E(€)=0 and var(€)=oʻI. Problem 1 Gauss-Mrkov theorem (revisited). We already know that E = B and var() = '(X'X)". Consider now another unbiased estimator of 3, say b = AY. Since we are assuming that b is unbiased we reach the conclusion that AX = I (why?). The Gauss-Markov theorem claims that var(b) - var() is positive semi-definite which asks that we investigate q' var(b) - var() q. Show...
1. Consider the following regression model: Y; = Bo + B1 * Xi + Ei S&x=21...
1. Consider the following regression model: Y; = Bo + B1 * Xi + Ei S&x=21 SSTx = 10, SST = 90, R2 = 0.6 n = 11 x= 10, y = 30 Where y = output in pounds and x is the amount of labor used measured in hours. a. Estimate a 95% confidence interval for ß, . What is the interpretation of this confidence interval?
1. a. At any given combination of values , the assumptions for the multiple regression model...
1. a. At any given combination of values , the assumptions for the multiple regression model require that the population of potential error term values has? b. What is the point estimate for the constant variance? c.Which of the following is the sum of the squared differences between the predicted values of the dependent variable and the mean of the dependent variable, the explained variation? d.The null hypothesis for the overall F-test states that: At least one ββis not equal...
2. Consider the following model: y = XB + u where y is a (nx1) vector...
2. Consider the following model: y = XB + u where y is a (nx1) vector containing observations on the dependent variable, B = Bi , B X is a (n x 3) matrix. The first column of X is a column of ones whilst the second and third columns contain observations on two explanatory variables (x and x2 respectively). u is (n x 1) vector of error terms. The following are obtained: 1234.7181 1682.376 7345.581 192.0 259.6 1153.1) X'X...
2. Suppose Y ~ Exp(a), which has pdf f(y)-1 exp(-y/a). (a) Use the following R code to generate data from the model Yi...
2. Suppose Y ~ Exp(a), which has pdf f(y)-1 exp(-y/a). (a) Use the following R code to generate data from the model Yi ~ Exp(0.05/Xi), and provide the scatterplot of Y against X set.seed(123) n <- 500 <-rnorm (n, x 3, 1) Y <- rexp(n, X) (b) Fit the model Yi-Ao + Ax, + ε¡ using the lm function in R and provide a plot of the best fit line on the scatterplot of Y vs X, and the residual...
Question 2: Suppose that we wish to fit a regression model for which the true regression line passes through the origin (0,0). The appropriate model is Y = Bx + €. Assume that we have n pairs of data (x1.yı) ... (Xn,yn). a) From first principle, derive the least square estimate of B. (write the loss function then take first derivative W.r.t coefficient etc) b) Assume that e is normally distributed what is the distribution of Y? Explain your answer...
Please help me with this question
The simple bivariate model y= Bo + Bizi+ui is written in matrix form, y = XB+u, where yi y2 11 12 po y = .B 1, and us and ... YN 1 IN the results of estimating the model are y = 20 + 30.0, where 10 200 X'X = 200 380) Use the above information to answer the following: (a) How many observations are in the data set? (b) What is the mean...
Logic Regression
Assuming our input training data is: (Xi- 2, Y0). (X2-5, Y2-1). (X3-3. Y3-0), (X3-10. Y3-1). let us use the logistic regression to classify the data. o a) Please write down the overall loss function for the logistic regression o b) please write down the gradient for the corresponding loss function at (x = 0).
Assuming our input training data is: (Xi- 2, Y0). (X2-5, Y2-1). (X3-3. Y3-0), (X3-10. Y3-1). let us use the logistic regression to classify the...
3) Let (x, y), (X2, y2), and (X3. Y3) be three points in R2 with X1 < x2 < X3. Suppose that y = ax + by + c is a parabola passing through the three points (x1, yı), (x2, y), and (x3, Y3). We have that a, b, and c must satisfy i = ax + bx + C V2 = ax + bx2 + c y3 = ax} + bx3 + c Let D = x X2 1....
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1 = b2 = 0 Но: B1 B2-0 с. We have a dataset Company with three variables: Sales, employees and stores. To build a multiple linear regression model using Sales as dependent variable, number of stores and number of employees as independent variables, which of the...
Consider the multiple regression model y = X3 + €, with E(€)=0 and var(€)=oʻI. Problem 1 Gauss-Mrkov theorem (revisited). We already know that E = B and var() = '(X'X)". Consider now another unbiased estimator of 3, say b = AY. Since we are assuming that b is unbiased we reach the conclusion that AX = I (why?). The Gauss-Markov theorem claims that var(b) - var() is positive semi-definite which asks that we investigate q' var(b) - var() q. Show...
1. Consider the following regression model: Y; = Bo + B1 * Xi + Ei S&x=21 SSTx = 10, SST = 90, R2 = 0.6 n = 11 x= 10, y = 30 Where y = output in pounds and x is the amount of labor used measured in hours. a. Estimate a 95% confidence interval for ß, . What is the interpretation of this confidence interval?
2. Consider the following model: y = XB + u where y is a (nx1) vector containing observations on the dependent variable, B = Bi , B X is a (n x 3) matrix. The first column of X is a column of ones whilst the second and third columns contain observations on two explanatory variables (x and x2 respectively). u is (n x 1) vector of error terms. The following are obtained: 1234.7181 1682.376 7345.581 192.0 259.6 1153.1) X'X...
2. Suppose Y ~ Exp(a), which has pdf f(y)-1 exp(-y/a). (a) Use the following R code to generate data from the model Yi ~ Exp(0.05/Xi), and provide the scatterplot of Y against X set.seed(123) n <- 500 <-rnorm (n, x 3, 1) Y <- rexp(n, X) (b) Fit the model Yi-Ao + Ax, + ε¡ using the lm function in R and provide a plot of the best fit line on the scatterplot of Y vs X, and the residual...
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