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:)
R is a little difficult for me, please answer if you can interpret the R code, I want to learn better how to interpret the R code 4. each 2 pts] Below is the R output for a simple linear regression m...
R is a little difficult for me, please answer if you can
interpret the R code, I want to learn better how to interpret the R
code
4. each 2 pts] Below is the R output for a simple linear regression model Coefficients: Estimate Std. Error t value Pr(>t) (Intercept) 77.863 4.199 18.544 3.54e-13 3.485 3.386 0.00329* 11.801 Signif. codes: 0 0.0010.010.05 0.11 Residual standard error: 3.597 on 18 degrees of freedom Multiple R-squared: 0.3891, Adjusted R-squared: 0.3552 F-statistic: 11.47...
The following data is exam score and hours looking at social media in that week of...
The following data is exam score and hours looking at social media in that week of the exam from a sample of 10 students. Student 1 2 3 4 5 6 7 8 9 10 Exam Score 50 67 72 73 79 33 35 36 89 92 Hours 9.5 9.5 8.2 7.8 6.7 5.9 5.5 4.2 1.8 0.1 a) (3 points) Using the IQR rule are there any outliers for the exam scores? If so write down the number(s). Give...
(13 points) Suppose you have a simple linear regression model such that Y; = Bo +...
(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...
DIRECTIONS: Make sure your responses are neat and readable. You must show me your calculation in...
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 answer questions 4 and 5 only !!! thank you the data from quest 3 is:...
Please answer questions 4 and 5 only !!!
thank you
the data from quest 3 is:
P-values (0.00) (0.00) P-value for F = 0.00 a) Interpret the intercept and the clope Show the estimated regression equation in a diagram b) Interpret the value of R Tos-1.0476810 4. Refer to the regression results in question 3. a) Examine, based on the p-value, whether the slope (ba) is statistically significant at the 5% level. Mention all the steps. HB (2Sinbad level ...5...
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Please show me how to do it on excell too
The commercial division of a real estate firm is conducting a regression analysis of the relationship between z, annual gross rents (in thousands of dollars), and y, seling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and the following computer output was obtained. The regression equation is Y=20.0 + 7.26 X Coef SE Coef T 20.000 3.2213 6.21 7.260 1.3622 5.29 Predictor...
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Thank you
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Really short question! Please help me to solve, thank you! (30%)Q2 (Poisson regression): We collected n...
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USE THE DATA LISTED IN THE EXCEL BELOW PLEASE THANK YOU !! [5] Q2. Problem 3.14....
USE THE DATA LISTED IN THE EXCEL BELOW PLEASE
THANK YOU !!
[5] Q2. Problem 3.14. Refer to Plastic hardness Problem 1.22. Use the data modified for this problem from Datasets for Assignment_3. (a) Perform the F test to determine whether or not there is lack of fit of a linear regression function; use a = .01. State the alternatives, decision rule, and conclusion. (b) Is there any advantage of having an equal number of replications at each of the...
R is a little difficult for me, please answer if you can
interpret the R code, I want to learn better how to interpret the R
code
4. each 2 pts] Below is the R output for a simple linear regression model Coefficients: Estimate Std. Error t value Pr(>t) (Intercept) 77.863 4.199 18.544 3.54e-13 3.485 3.386 0.00329* 11.801 Signif. codes: 0 0.0010.010.05 0.11 Residual standard error: 3.597 on 18 degrees of freedom Multiple R-squared: 0.3891, Adjusted R-squared: 0.3552 F-statistic: 11.47...
The following data is exam score and hours looking at social media in that week of the exam from a sample of 10 students. Student 1 2 3 4 5 6 7 8 9 10 Exam Score 50 67 72 73 79 33 35 36 89 92 Hours 9.5 9.5 8.2 7.8 6.7 5.9 5.5 4.2 1.8 0.1 a) (3 points) Using the IQR rule are there any outliers for the exam scores? If so write down the number(s). Give...
(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...
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 answer questions 4 and 5 only !!!
thank you
the data from quest 3 is:
P-values (0.00) (0.00) P-value for F = 0.00 a) Interpret the intercept and the clope Show the estimated regression equation in a diagram b) Interpret the value of R Tos-1.0476810 4. Refer to the regression results in question 3. a) Examine, based on the p-value, whether the slope (ba) is statistically significant at the 5% level. Mention all the steps. HB (2Sinbad level ...5...
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...
Please show me how to do it on excell too
The commercial division of a real estate firm is conducting a regression analysis of the relationship between z, annual gross rents (in thousands of dollars), and y, seling price (in thousands of dollars) for apartment buildings. Data were collected on several properties recently sold and the following computer output was obtained. The regression equation is Y=20.0 + 7.26 X Coef SE Coef T 20.000 3.2213 6.21 7.260 1.3622 5.29 Predictor...
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]
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...
USE THE DATA LISTED IN THE EXCEL BELOW PLEASE
THANK YOU !!
[5] Q2. Problem 3.14. Refer to Plastic hardness Problem 1.22. Use the data modified for this problem from Datasets for Assignment_3. (a) Perform the F test to determine whether or not there is lack of fit of a linear regression function; use a = .01. State the alternatives, decision rule, and conclusion. (b) Is there any advantage of having an equal number of replications at each of the...
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