Data On The Cost Millions Of Dollars And The Running Time Minutes For Films Of A Particular Season Are Dependent Var 1 (27.47 KiB) Viewed 27 times
Data On The Cost Millions Of Dollars And The Running Time Minutes For Films Of A Particular Season Are Dependent Var 2 (53.92 KiB) Viewed 27 times
Data On The Cost Millions Of Dollars And The Running Time Minutes For Films Of A Particular Season Are Dependent Var 3 (28.46 KiB) Viewed 27 times
Data on the cost (millions of dollars) and the running time (minutes) for films of a particular season are Dependent variable is: Budget($M) summarized in the computer output shown to the right and the plots below. Complete parts a and b. R squared 22.7% Click the icon to view the plots. a) Check the assumptions and conditions for inference. Select all that apply. A. The residuals are nearly normal. B. The residuals look random. ☐☐☐☐0 C. The residual plot and the scatterplot show consistent variability. D. The scatterplot looks straight enough. E. None of the assumptions and conditions for inference are satisfied. s=25.24 with 20-2-18 degrees of freedom. Variable Coefficient SE(Coeff) t-ratio P-value. Intercept -23.8456 34.28 -0.70 0.4956 Run Time 0.646386 0.2813 2.30 0.0338
for films of a particular season are Dependent variable is: Budget($M) R squared = 22.7% s below. Complete parts a and b. I that riability re satis Plots 120- Get more help. 60- 60 s=25.24 with 20-2=18 degrees of freedom Variable Coefficient SE(Coeff) t-ratio P-value 34.28 -0.70 0.4956 Intercept -23.8456 Run Time 0.646386 0.2813 2.30 0.0338 120 Run Time (minutes) 180 Q Print 20 50 Predicted Done MacBook Pro Q 80- -80 -2 - X 0 Nscor
that a iability. e satisf Plots 10 (minutes) 180 Q Residuals & 80- -80- 20 50 Predicted Print 80 Q G Residuals 80- -80- Done -2 Nscores 2 Q Q
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