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Question 6 The output below refers to a simple linear regression relating lights departure delay to their arrival delay Simple Repression - Arrival Delay Departure

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Question 6 The output below refers to a simple linear regression relating lights departure delay to their arrival delay Simple Repression - Arrival Delay Departure Delay Dependent variable: Arrival Delay Independent variable: Departure Delay Linear model: Ya+b'x Coefficients P.Value Least Squares Parameter Standard Error T Statistic Estimate 0.8870 0.0306 0.9756 Intercept 0.0277 39.1612 0.0000 0.0246 Slope 0.9634 Analysis of Variance F-Ratio P-Value DF Mean Square Sum of Squares Source 259352 1533.60 0.0000 1 Model 259352 215 169.113 Residual 36359 Total 295711 216 Correlation Coefficient -0.936506 R-squared - 87.7044 percent if thesis for the test represented in the ANOVA table? | Select) Total 295711 Comments R-quared - 1.014 1 Wh of the follow the hotelow the street ANOVA 2. How we can het a. what percent of the story that recent of the bovenindependent on the What can we say what the toured on the page hovec 5. What is intention of the otput 6. For a funt that experienced partur av to me, which of the towing street 7. A PON.confidence interval for the procent for cented in the form other & What is there between predet interval and confidence intervat for estimating the means med det inte? There will be one resident for each evido obwrvation. With of the following provide an eta se descontenen of her ..... 1. Whether the ANOVA 3 What we went to the 3. What the output for de som which of the towing that 7. A co contorno What is the main trediction and control for estima There will be onerede for each dobitionWhich of the provided SELE 11 COM

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