Question

In: Statistics and Probability

Using the statistical model, ? = ?? + ?, where ?~?(0,?2?) and the data in Table1.dat...

Using the statistical model, ? = ?? + ?, where ?~?(0,?2?) and the data in Table1.dat
a) Compute ?T? matrix and ?T?
b) Compute the inverse of ?T?
c) Compute the least square estimate. Compare to results in exercise 1.

d)Compute ?̂? = ?? − ?? ̂ = ?? − (?1 + ?2??) and use the least square estimator ?2 = ∑ ?̂? ? ?=1 ?−2
to compute and estimate of ?2

e) Compute an estimate of the variance and covariance expressions for ?1 and ?2

input X Output Y
1 0.58
2 1.1
3 1.2
4 1.3
5 1.95
6 2.55
7 2.6
8 2.9
9 3.45
10 3.5
11 3.6
12 4.1
13 4.35
14 4.4
15 4.5

Solutions

Expert Solution


The matrix X is a) XIX = 15 120 120 1240 42.08 418.53 XTy=

0.295238 -0.02857 -0.02857 0.003571 b) inverse of XIX = 0.465619 c) Now the OLS estimate -x*x x y= 0.292454 the intercept is bi=0.465619 and regression coefficient is bz= 0.292464 the model is j = 0.465619 +0.292464x -0.34 2.51 y y pred Error(e) 0.58 0.76 -0.18 1.1 1.05 0.05 1.2 1.34 -0.14 1.3 1.64 1.95 1.93 2.55 2.22 0.33 0.09 2.9 2.81 0.09 3.45 3.10 3.39 0.11 3.6 3.68 -0.08 4.1 3.98 0.12 4.35 4.27 0.08 4.4 4.56 -0.16 4.5 4.85 -0.35 0.35 3.5


Related Solutions

Using the data from your organization, identify an example where the quantitative Statistical Quality Control could...
Using the data from your organization, identify an example where the quantitative Statistical Quality Control could assist with a decision. a)      Define the states of problem. b)      Organize data in a Control Chart for the Mean with UCL and LCL charts included. c)      Organize data in a Control Chart for the Range with UCL and LCL charts included.
We have a one parameter statistical model. Probability model: {f(x;θ)=x/(2θ^2), θ>0 and x is an element...
We have a one parameter statistical model. Probability model: {f(x;θ)=x/(2θ^2), θ>0 and x is an element of (0, θ]. Sampling model: X=(X1,...Xn) is random. By stating likelihood and log likelihood functions, calculate the maximum likelihood estimator of θ. Differentiation can't be used to solve this problem.
The population of the world doubled from 1950 to 1987. Using the exponential model, ?=?0???,P=P0ekt, where...
The population of the world doubled from 1950 to 1987. Using the exponential model, ?=?0???,P=P0ekt, where ?t is measured in years, find the annual growth rate ?k for that period.
Write the reqression equation Discuss the statistical significance of the model as a whole using the...
Write the reqression equation Discuss the statistical significance of the model as a whole using the appropriate regression statistic at a 95% level of confidence. Discuss the statistical significance of the coefficient for the independent variable using the appropriate regression statistic at a 95% level of confidence. Interpret the coefficient for the independent variable. What percentage of the observed variation in highway fuel efficiency that is explained by the model? f.Predict the highway fuel efficiency of a vehicle with 6...
a. Write the regression equation. b. Discuss the statistical significance of the model using the appropriate...
a. Write the regression equation. b. Discuss the statistical significance of the model using the appropriate regression statistic at a 95% level of confidence. c. Discuss the statistical significance of the coefficient for the independent variable using the appropriate regression statistic at a 95% level of confidence. d. Interpret the coefficient for the independent variable. e. What percentage of the observed variation in income is explained by the model? f. Predict the value of a person’s income using this regression...
For a hypothesis test, where ?0:?1=0 and ?1:?1≠0, and using ?=0.01 , give the following:
Consider the data set below. x 22 99 88 44 99 99 y 66 44 88 55 77 11 For a hypothesis test, where ?0:?1=0 and ?1:?1≠0, and using ?=0.01 , give the following: (a) The test statistic ?= (b) The degree of freedom ??= (c) The rejection region |?|> The final conclustion is A. There is not sufficient evidence to reject the null hypothesis that ?1=0 β 1 = 0 . B. We can reject the null hypothesis that...
DATA 3 8 2 15 2 2 0 0 4 5 2 7 0 1 5...
DATA 3 8 2 15 2 2 0 0 4 5 2 7 0 1 5 3 0 2 5 4 1 6 9 5 3 1 2 10 6 1 1 2 1 19 6 6 6 7 0 4 1 1 1 0 1 9 2 2 2 1 16 10 10 5 2 3 1 4 4 4 3 6 2 8 5 2 7 1 6 4 0 3 1 1 1 Background: A group of...
Write the regression equation. Discuss the statistical significance of the model using the appropriate regression statistic...
Write the regression equation. Discuss the statistical significance of the model using the appropriate regression statistic at a 95% level of confidence. Discuss the statistical significance of the coefficient for the independent variable using the appropriate regression statistic at a 95% level of confidence. Interpret the coefficient for the independent variable. What percentage of the observed variation in income is explained by the model? Predict the value of a person’s income with 3 children, using this regression model. SUMMARY OUTPUT...
Solve the differential equation using undetermined coefficients: y''-0.25y=3sin0.5t where y(0)=0 and y'(0)=0
Solve the differential equation using undetermined coefficients: y''-0.25y=3sin0.5t where y(0)=0 and y'(0)=0
Compute the determinant of A, where A= a 4x4 matrix [1 -3 0 0; 2 1...
Compute the determinant of A, where A= a 4x4 matrix [1 -3 0 0; 2 1 0 0; 0 0 1 2; 0 0 2 1] a 4x4 matrix [2 5 4 2; 0 0 0 2; 0 -3 0 -4; 1 0 -1 1] and a 4x4 matrix [1 -3 0 0; 2 1 0 0; 0 0 1 2; 0 0 2 1]^-1. a) det(A)= -36 b) det(A)= 5 c) det(A)= 0 d) det(A)= -13 e)det(A)= 36
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT