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Data on the cost (millions of dollars) and the running time (minutes) for films of a particular season are summarized in the computer output shown to the right and the plots below. Complete parts a and b Click the icon to view the plots. Dependent variable is: Budget(M) Rsquared24.0% s 25.12 with 20-2-16 degrees of freedom Variable Coefficient SE(Coeff) t-ratio P-value Intercept -23.5882 34.12 -0.60 0.4982 2.30 0.0282 Run Time 0.665602 0.2788

Data on the cost (millions of dollars) and the running time (minutes) for films of a particular season are summarized in the computer output shown to the right and the plots below. Complete parts a and b Click the icon to view the plots. Dependent variable is: Budget(M) Rsquared24.0% s 25.12 with 20-2-16 degrees of freedom Variable Coefficient SE(Coeff) t-ratio P-value Intercept -23.5882 34.12 -0.60 0.4982 2.30 0.0282 Run Time 0.665602 0.2788

MATLAB: An Introduction with Applications
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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Data on the cost (millions of dollars) and the running time (minutes) for films of a particular season are summarized in the computer output shown to the right and the plots below. Complete parts a and b Click the icon to view the plots. a) Check the assumptions and conditions for inference Select all that apply The residual plot and the scatterplot show consistent variability The scatterplot looks straight enough The residuals look random The residuals are nearly normal None of the assumptions and conditions for inference are satisfied. b) Find a 95% confidence interval for the slope and interpret it. m% confident that the cost of making longer movies (Round to two decimal places as needed. Use ascending order.) Dependent variable is: Budget(SM) squared-24.0% R s 25.12 with 20-2-18 degrees of freedom Variable Coefficient SE(Coeff) t-ratio P-value intercept -23.5882 Run Time 0.665602 0.2788 34.12 -0.69 0.4982 2.39 0.0282 at a rate of between and milion dollars per minute Plots 120 Run Time in 160 Print Predded Done M
Transcribed Image Text:Data on the cost (millions of dollars) and the running time (minutes) for films of a particular season are summarized in the computer output shown to the right and the plots below. Complete parts a and b Click the icon to view the plots. a) Check the assumptions and conditions for inference Select all that apply The residual plot and the scatterplot show consistent variability The scatterplot looks straight enough The residuals look random The residuals are nearly normal None of the assumptions and conditions for inference are satisfied. b) Find a 95% confidence interval for the slope and interpret it. m% confident that the cost of making longer movies (Round to two decimal places as needed. Use ascending order.) Dependent variable is: Budget(SM) squared-24.0% R s 25.12 with 20-2-18 degrees of freedom Variable Coefficient SE(Coeff) t-ratio P-value intercept -23.5882 Run Time 0.665602 0.2788 34.12 -0.69 0.4982 2.39 0.0282 at a rate of between and milion dollars per minute Plots 120 Run Time in 160 Print Predded Done M
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