Using 20 observations, the following regression output is obtained from estimating y Pe Bix B2d B3xd + e.t Stat p-valueCoefficients Standard Error14.455.10-6.944.251.01Interceptxd12 and d=1x-12 and d=093.400.683.470.50a. Compute for x=12 and d-t then compute 9 for x= 12 and d0 (Round Intermediate calculations to at least 4 decimal placesand final answers to 2 decimal places)80.8375.657.50-2.002.020.0010.0000.0630.061b-1. is the dummy variable d significant at the 5% level?OYes, since we reject the relevant null hypothesisO Yes, since we do not reject the relevant null hypothesisO No, since we reject the relevant null hypothesisNo, since we do not reject the relevant null hypothesisb-2. Is the interaction variable ad significant at the 5% level?O No, since we do not reject the relevant nu hypothesisO Yes, since we do not reject the relevant null hypothesO No, since we reject the relevant null hypothesisYs, since we reject the relevant null hypothesis

The output of the regression analysis is provided as follows:CoefficientsStandard errort Stat…

Answered: Using 20 observations, the following…

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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The mall has a set of data with employee age (X) and the corresponding number of annual on-the-job-accidents(Y). Analysis on the set finds that the regression equation is Y=100-3X. What is the likely number of accidents for someone aged 30? 97 100 10 none of the above
Using 50 observations, the following regression output is obtained from estimating y = 6g + 61x + 62d1 + 63dz + a. Standard Coefficients -0.75 2.86 -13.60 Error 0.30 1.10 t Stat -2.50 2.60 P-value 0.0160 0.0125 Intercept 16.00 -0.85 0.3997 d2 1.50 3.80 0.0004 5.70 a. Compute for x= 265, d 1, and d, = 0; compute for x 265, d1 = 0, and d, = 1. (Round your answers to 2 decimal places.) !! = 1 and d, 265, d1 265, d = 0 and d, = 1 b-1. Interpret d, and d2. (You may select more than one answer. Single click the box with the question mark to produce a check mark for a correct answer and double click the box with the question mark to empty the box for a wrong answer. Any boxes left with a question mark will be automatically graded as incorrect.) ?When d = 1, ý is 13.60 units greater than when d1 e, holding everything else constant. ?When d2 = 1, ŷ is 5.70 units greater than when d2 e, holding everything else constant. ?When d = 1, ŷ is 13.60 units less than when d1 0, holding everything else…
Listed below is the multiple regression equation for predicting Y by X₁ through Xs. Y is the number of sales per month. X₁ is the number of sales calls made X2 is the number of hours on the showroom floor X3 is the amount spent on radio ads X is the number of text messages sent Xs is the number of email messages sent Regression Statistics R Square 0.634 Standard Error 7.6796 Observations 45 Intercept X₁ X₂ X3 XA Xs Coefficients Standard Error 6.8163 0.1005 -0.3207 0.2084 0.1221 0.0943 77.1211 1.9439 -11.123 0.1144 11.34 1.23 What is the computed value of the F statistic you would use to test the significance of the entire model? Round your answer to two decimal places.
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- X Wins and ERA Earned run Wins, x average, y 20 2.79 18 3.31 17 2.65 16 3.83 14 3.94 12 4.27 11 3.78 9 5.18 Print Done
Please all the 3 of these sub-questions. Make sure answer is rounded up to 4 decimals
Give the equation of the regression line: -913.2969+0.4808years(y) a) Plug an actual x value into the equation and discuss the difference between the real y and the predicted yb) Discuss the domain of your datac) Include the scatterplot with line of best fit
You are testing the claim that the mean GPA of night students is different than the mean GPA of day students. You sample 60 night students, and the sample mean GPA is 2.63 with a standard deviation of 0.56 You sample 45 day students, and the sample mean GPA is 2.62 with a standard deviation of 0.98 Calculate the test statistic, rounded to 2 decimal places
The following multiple regression printout can be used to predict a person's average annual salary given his or her years of employment and number of years of education beyond high school. Regression Analysis: Salary Versus YrsEm, Educ Coefficients Term Constant YrsEm Educ Coef 23,171 678 1,918 SE Coef 1,771 142 376 T-Value 13.08 4.77 5.10 P-Value 0.000 0.000 0.000 (a) Is the regression coefficient of education (Educ) statistically significant? (Use a = 0.05.) Given this output, the regression coefficient for education ---Select--- statistically significant. (b) Does the variable education belong in the model? Given this output, the variable education ---Select--- --Select--- belong in the model. (c) Given this output, which of the following is the correct interpretation for Education in this model? O An individual with 4 years of education beyond high school can expect an annual salary of $7,672. O The estimated change in the average value of annual salary of getting an additional…
The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x = 5 wins Click the icon to view the table of numbers of wins and earned run average. (b) x= 10 wins (c) x=21 wins (d) x= 15 wins The equation of the regression line is y = x+ | (Round to two decimal places as needed.) !!
An automobile rental company wants to predict the yearly maintenance expense (Y) for an automobile using the number of miles driven during the year () and the age of the car (, in years) at the beginning of the year. The company has gathered the data on 10 automobiles and run a regression analysis with the results shown below:. Summary measures Multiple R 0.9689 R-Square 0.9387 Adj R-Square 0.9212 StErr of Estimate 72.218 Regression coefficients Coefficient Std Err t-value p-value Constant 33.796 48.181 0.7014 0.5057 Miles Driven 0.0549 0.0191 2.8666 0.0241 Age of car 21.467 20.573 1.0434 0.3314 Use the information above to estimate the annual maintenance expense for a 10 years old car with 60,000 miles.
B b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? The scatter diagram indicates a positive linear relationship between a = average number of passing yar and y = the percentage of games won by the team. c. Develop the estimated regression equation that could be used to predict the percentage of games won given the avera passing yards per attempt. Enter negative value as negative number. WinPct =| |)(Yds/Att) (to 4 decimals) d. Provide an interpretation for the slope of the estimated regression equation (to 1 decimal). The slope of the estimated regression line is approximately So, for every increase : of one yar number of passes per attempt, the percentage of games won by the team increases by %. e. For the 2011 season, the average number of passing yards per attempt for the Kansas City Chiefs was was 5.5. Use th regression equation developed in part (c) to predict the percentage of games won by the Kansas City Chiefs.…

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