Write down the regression model with the unknown coefficients. Question 3Asuss Airline would like to forecast the number of passengers who will fly fromSingapore to Shanghai in 2018. The data is given in Table 3-1. The consultant firstdeveloped a time series regression model, using time as the independent variable and thenumber of passengers as the dependent variable to fit the data. The fitted line is shownin Figure 3-1, and the autocorrelation function for the residuals obtained from theregression model is shown in Figure 3-2.Table 3-1: Number of passengers flying from Singapore to ShanghaiNumber ofNumber ofYearpassengers (1,000s)Yearpassengers (1,000s)199322.8200669.979.926.129.434.5199420071995200896.319962009109.0199737.62010116.0199840.32011117.2199939.520121249200045.42013136.6200146.32014144.8200245.82015147.9200348.02016150.1200454.620171519200561.916014012010020101520TimeFigure 3-1: Fitted line plotsabuassed

Let X be the time points for the given years and consider it as an independent variable.Let Y be the…

Answered: Asuss Airline would like to forecast…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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If I add the additional condition which is the labor is female using the following: #People who is femalefemale = x*0.46 Will it become dependent variable and how will I do linear regression model by adding this condition?
The table below shows the amounts of crude oil (in thousands of barrels per day) produced by a country and the amounts of crude oil (in thousands of barrels per day) mported by a country, for the last seven years. Construct and interpret a 95% prediction interval for the amount of crude oil imported by the this country when the amount of crude oil produced by the country is 5,508 thousand barrels per day. The equation of the regression line is y = - 1.120x + 15,839.271. Oil produced, x 5,684 5,654 5,452 5,157 5,061 5,030 5,826 9,680 10,041 10,154 10,121 10,060 Oil imported, y 9,304 9,105 Construct and interpret a 95% prediction interval for the amount of crude oil imported when the amount of crude oil produced by the country is 5,508 thousand barrels per day. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) and O A. We can be 95% confident that when the amount of oil produced is 5,508 thousand barrels, the…
A set of X and Y scores has SSx=10,Ssy=20,and SP =8,what is the b in the regression equation?
How does the interpretation of the regression coefficients differ in multiple regression and simple linear regression?
the missing drop down menu is [Yes/No]
The age and height (in cm) of 400 adult women from Bolivia were measured. A researcher wants to know if age has any effect on height. A linear regression is carried out in Minitab and the following output obtained. Coefficients Term Constant Age (a) Write down the regression model. (b) Interpret the regression coefficient for the fitted model. (c) Use the output from Minitab to explain if the age of a participant affects their height. Percent (d) The normal probability plot of the residuals from this regression model is given below. Do the assumptions of the regression model seem reasonable? Justify your answer. 99.9 8 28 22299229 88 Coef SE Coef 152.94 7.69 0.022 0.231 01 -100 T-Value P-Value VIF 19.90 0.000 0.10 0.924 1.00 -50 Normal Probability Plot (response is Height) 0 Residual 50 ***** 100 150
A business statistics professor would like to develop a regression model to predict the exam scores for students based on their current GPAs, the number of hours they studied for the exam, and the number of times they were absent during the semester. The data for these variables can be found in this file. a) Run the multiple regression in Excel. Hint: set x1 = GPA, x2 = Hours, X3 = Absences. b) Find the R2 and explain its meaning. c) Explain the outcome of the F test. What does it mean? d) Explain the outcomes of the t tests for the slope coefficients. e) Write out the regression equation. f) Explain the meanings of the slope coefficients.
The table below shows the amounts of crude oil (in thousands of barrels per day) produced by a country and the amounts of crude oil (in thousands of barrels per day) imported by a country, for the last 7 years. Construct and interpret a 98% prediction interval for the amount of oil imported by the country and the amount of oil produced by the country is 5,483 thousand barrels per day. The equation of the regression line is y = -1.194x + 16,234.906
A soft drink bottling company wants to develop a regression model to predict delivery time (in minutes) based on the number of cases delivered. A sample of 16 deliveries was selected. The Excel output for this regression model is given below. (a) State the regression equation. (b) Interpret the meaning of b0 and b1 in this problem. (c) What is the predicted delivery time when the number of cases is 30 , assuming 30 is within the range of number of cases delivered for this problem? (d) At the 0.05 level of significance, is there evidence of a linear relationship between the number of cases delivered and the delivery time? (e) Construct a 95% confidence interval estimate of the population slope β1. Interpret the confidence interval estimate. (f) How useful do you think this regression model is for predicting the delivery times?
A researcher is hired to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance in miles between home and work for the employees. A sample of 10 employees was chosen and the results are listed in the chart below. Use the proper Data Analysis function in Excel to computethe regression equation needed to predict the number of missed days that could be expected foremployees who live certain distances away from the workplace. Distance to Work (miles): 1, 3, 4, 6, 9, 10, 12, 14, 14, 18 Number of Days Absent: 9, 6, 7, 7, 6, 4, 5, 3, 4, 2
Would I use the regression line to predict Y from X ? And what is the pattern of the scatterplot?
A standardized exam's scores are normally distributed. In a recent year, the mean test score was 1471 and the standard deviation was 318. The test scores of four students selected at random are 1910, 1210, 2210, and 1370. Find the z-scores that correspond to each value and determine whether any of the values are unusual. The z-score for 1910 is (Round to two decimal places as needed.)

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