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Q5 22% Q5 22% a Paste (values) a copy of the regression report here: 2 (a). The manager would like to be able to predict
Q5 22% Q5 22% a Paste (values) a copy of the regression report here: 2 (a). The manager would like to be able to predict travel time for a new delivery. To that end you have been asked to build a multiple linear regression model to predict travel time using Miles and Deliveries. Use a 95% confidence level. Copy the bottom section of the regression report and paste it in the answer box and type the regression equation in the space provided. State all independent variables that are significant. Keep all variables in the model, regardless of significance. (b) What percentage of the sample variation in travel time is explained by your model? (c) Refer to the sample data for trip number 2. The time for this trip was 4.8 hours. Use your model to compute the predicted time for this trip. (HINT: We know the miles and number of deliveries for this trip). Name all significant variables in the above regression model: (d) Determine a 95% confidence interval for the coefficient of 1 Significant variables Miles in your model and type the limits in the space provided. Regression equation (type the equation below) 2 Predicted time = 1 b Percent of sample variation explained (4 deciaml places) 2 c Predicted time = 1 d 95% confidence interval for the coefficient of Miles Lower limit Upper limit
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