Please help me do it.
And please tell me the way you do it, thank you:)
Homework Answers
(1) the equation of the regression line:
y y = a + b?x= ?1.102 + 1.996?x
Y=-1.102+1.996*(-2) =-5.094
Y=-1.102+1.996*(4)=6.882
(2)the equation of the regression line:
y y = a + b?x= 66.399 + 4.905?x
Y=66.399+4.905*4 =86.019
Y=66.399+4.905*6 =95.829
(3) r=0.9856
positive correlation between X and Y
0.9856
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Please help me do it. And please tell me the way you do it, thank you:)
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Please clearly help me answer question by question.
Thank you
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interpret the R code, I want to learn better how to interpret the R
code
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Really short question! Please help me to solve, thank
you!
(10%)Q3 (Logistic regression): We collected n 15 independent binary observations : i- 1, , 15) and their corresponding covariates {xi : і = 1, , 15). Assume the relationship between yi and zi (for i = 1, , 15) is Vi ~ Bernoulli(p.) and logit(Pi)-α+82i, where logit(t) = log ti. Please 1) write down the likelihood function L(a, B|x, y) of the logistic regression model; 2) derive the Newton method...
Really short question! Please help me to solve, thank
you!
(30%)Q2 (Poisson regression): We collected n 15 independent count observations {Vi : 1,..., 15 and their corresponding covariates (i 1,..., 15). Assume the relationship between Vi and xỉ (for i-: 1, , 15) is yi ~ Poisson(A) and log(A) α+ßxi. Please 1) write down the likelihood function L(a, B|x, y) of the Poisson regression model; 2) derive the Newton method for maxmizing L(a, BIx, y); 3) implement the Newton method...
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DIRECTIONS: Make sure your responses are neat and readable. You must show me your calculation in a separate piece of paper. Homework that is difficult to grade due to messiness will be returned ungraded. If you would like to get full credit, do not forget to attach the Excel output. The number of hours 10 students spent studying for a test and their scores on that test is represented in the table below. 0 2 4 5 5 Hours spent...
Please clearly help me answer question by question.
Thank you
1. Use the table below to answer the questions that follows below it. Year Defense budget outlays Gross National Product 1962 51.1 560.3 1963 52.3 590.5 1964 53.6 632.4 1965 49.6 684.9 1966 56.8 749.9 Estimate the econometric regression model by calculating the following: a) a, b, and Y. [4, 3 and 2 marks respectively] b) Write the estimated regression model. [3 marks c) Interpret the regression model. [3 marks]
(13 points) Suppose you have a simple linear regression model such that Y; = Bo + B18: +€4 with and N(0,0%) Call: 1m (formula - y - x) Formula: F=MSR/MSE, R2 = SSR/SSTO ANOVA decomposition: SSTOSSE + SSR Residuals: Min 1Q Modian -2.16313 -0.64507 -0.06586 Max 30 0.62479 3.00517 Coefficients: Estimate Std. Error t value Pr(> It) (Intercept) 8.00967 0.36529 21.93 -0.62009 0.04245 -14.61 <2e-16 ... <2e-16 .. Signif. codes: ****' 0.001 '** 0.01 '* 0.05 0.1'' 1 Residual standard...
Please answer questions 4 and 5 only !!!
thank you
the data from quest 3 is:
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