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Marysko Shipping Co. ( 2021) believes that the variation in the cost of a customer's shipment can be explained by differences in the weight of

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Marysko Shipping Co. ( 2021) believes that the variation in the cost of a customer's shipment can be explained by differences in the weight of the package being shipped. To investigate whether this relationship is useful, a random sample of 22 customer shi men s was selected, and the weight (in lb) and the cost {in dollars. to the nearest ollar) for each shipment were recorded. a. Complete the following ANOVA table. I33-IE|EE-_ _-l--- b. Calculate the standard error of the estimate. (Show your calculations.) c. Determine the coefficient of determination and interpret your result. Continuing with the model that seeks to explain shipment cost from package weight: The mean shipment weight was 11.05 and the variance of the shipment weights was 41.91 Using this information and the output provided, answer the following questions: Term Cost SE Cost Constant 0.34 1 .00 Wt (lb) 0.695 [1.125 d) [5] Develop a 95% Confidence Interval for the cost of shipments that weigh 15 lb. Assume that 15 was in the range of the data collected. Include details of your calculations and a statement that describes your results in context, in your scanned submission. e] [5] Test whether there is a relationship between shipment weight and cost. Place your test statistic value in the ANSWER BOX {2 decimals} . {Include the complete test in your file.) Assume a significance level of 0.05. f] [5] Test whether the intercept in the model equals zero. Does the result make sense? Explain. [Include the complete test in your file.) Assume a significance level of 0.05

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