Continuing with the model that seeks to explain shipment cost from package weight: The mean shipment weight was 11.41 and the variance of the shipment weights was 23.13 Using this information and the output provided, answer the following questions: Term Constant Coef 4.50 1.110 SE Coef 1.69 0.143 Wt (lb) d) [4] 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. e) [4] Test whether there is a relationship between shipment weight and cost. Place your test statistic value in the ANSWER BOX. (Include the complete test in your file.) Assume a significance level of 0.05. f) [4] Develop a 95% Prediction Interval for the cost of a shipment that weighs 9 lb. Assume that 9 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. Windo Continuing with the model that seeks to explain shipment cost from package weight: The mean shipment weight was 11.41 and the variance of the shipment weights was 23.13 Using this information and the output provided, answer the following questions: Term Constant Coef 4.50 1.110 SE Coef 1.69 0.143 Wt (lb) d) [4] 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. e) [4] Test whether there is a relationship between shipment weight and cost. Place your test statistic value in the ANSWER BOX. (Include the complete test in your file.) Assume a significance level of 0.05. f) [4] Develop a 95% Prediction Interval for the cost of a shipment that weighs 9 lb. Assume that 9 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. Windo