Home / Mathematics /please solve all steps The monthly sales for Yazici Batteries, Inc., were as shown in the above table. a) Forecast January sales of the coming year using each of the following: i. Naive method ii. 3-mth moving average iii. A 6-month weighted moving average using .1, .1, .1,.2,.2, and .3, with the heaviest weights applied to the most recent months. iv. Exponential smoothing using an alpha \( =0.3 \) v. A trend projection model b) With the data given, which method would you recommend for this data set and why? c) Discuss the trend projection model that you obtained for this data set.

Question please solve all steps The monthly sales for Yazici Batteries, Inc., were as shown in the above table. a) Forecast January sales of the coming year using each of the following: i. Naive method ii. 3-mth moving average iii. A 6-month weighted moving average using .1, .1, .1,.2,.2, and .3, with the heaviest weights applied to the most recent months. iv. Exponential smoothing using an alpha \( =0.3 \) v. A trend projection model b) With the data given, which method would you recommend for this data set and why? c) Discuss the trend projection model that you obtained for this data set.

EXIGIX The Asker · Probability and Statistics
please solve all steps

Transcribed Image Text: The monthly sales for Yazici Batteries, Inc., were as shown in the above table. a) Forecast January sales of the coming year using each of the following: i. Naive method ii. 3-mth moving average iii. A 6-month weighted moving average using .1, .1, .1,.2,.2, and .3, with the heaviest weights applied to the most recent months. iv. Exponential smoothing using an alpha \( =0.3 \) v. A trend projection model b) With the data given, which method would you recommend for this data set and why? c) Discuss the trend projection model that you obtained for this data set.
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Transcribed Image Text: The monthly sales for Yazici Batteries, Inc., were as shown in the above table. a) Forecast January sales of the coming year using each of the following: i. Naive method ii. 3-mth moving average iii. A 6-month weighted moving average using .1, .1, .1,.2,.2, and .3, with the heaviest weights applied to the most recent months. iv. Exponential smoothing using an alpha \( =0.3 \) v. A trend projection model b) With the data given, which method would you recommend for this data set and why? c) Discuss the trend projection model that you obtained for this data set.
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&#12304;General guidance&#12305;The answer provided below has been developed in a clear step by step manner.Step1/2The monthly sales for Yazici Batteries, Inc., were as shown in the above table. a) Forecast January sales of the coming year using each of the following: i. Naive method ii. 3-mth moving average iii. A 6-month weighted moving average using .1, .1, .1,.2,.2, and .3, .<path transform="" transform-origin="47 109.99999999999997" d=" M 47 110 L 530 109.99999999999997 " fill="#FFFFFF" stroke="rgb(51, 51, 51)" stroke-width="2" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round" stroke-miterlimit="10" dominant-baseline="text-before-edge" vector-effect="non-scaling-stroke" data-id="JMBFZwRvD3XObKJYEGhSH"><path transform="" transform-origin="46.5 154.99999999999997" d=" M 46.5 155 L 530 154.99999999999997 " fill="#FFFFFF" stroke="rgb(51, 51, 51)" stroke-width="2" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round" stroke-miterlimit="10" dominant-baseline="text-before-edge" vector-effect="non-scaling-stroke" data-id="ZDEis5Z-thIQICRoQ_Kag"><path transform="" transform-origin="45.5 204.99999999999997" d=" M 45.5 205 L 528 204.99999999999997 " fill="#FFFFFF" stroke="rgb(51, 51, 51)" stroke-width="2" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round" stroke-miterlimit="10" dominant-baseline="text-before-edge" vector-effect="non-scaling-stroke" data-id="9--q6E-aaQ4i52RBbkygA"><path transform="" transform-origin="47 253.99999999999997" d=" M 47 254 L 523 253.99999999999997 " fill="#FFFFFF" stroke="rgb(51, 51, 51)" stroke-width="2" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round" stroke-miterlimit="10" dominant-baseline="text-before-edge" vector-effect="non-scaling-stroke" data-id="I7xUlOk492wwh3i5vjeYg"><path transform="" transform-origin="47 304.99999999999994" d=" M 47 305 L 518 304.99999999999994 " fill="#FFFFFF" stroke="rgb(51, 51, 51)" stroke-width="2" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round" stroke-miterlimit="10" dominant-baseline="text-before-edge" vector-effect="non-scaling-stroke" data-id="aNozj0VY1__oHgX65-P7_"><path transform="" transform-origin="47 355.99999999999994" d=" M 47 356 L 514 355.99999999999994 " fill="#FFFFFF" stroke="rgb(51, 51, 51)" stroke-width="2" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round" stroke-miterlimit="10" dominant-baseline="text-before-edge" vector-effect="non-scaling-stroke" data-id="7BKi3aeIaNTLCUrfG1C2e"><path transform="" transform-origin="45.5 107" d=" M 45.5 356 L 45.5 107 " fill="#FFFFFF" stroke="rgb(51, 51, 51)" stroke-width="2" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round" stroke-miterlimit="10" dominant-baseline="text-before-edge" vector-effect="non-scaling-stroke" data-id="abcTpDNyCJ-WjjL5kKnj4"><path transform="" transform-origin="78 138" d=" M 78 155 L 119 138 " fill="#FFFFFF" stroke="rgb(51, 51, 51)" stroke-width="2" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round" stroke-miterlimit="10" dominant-baseline="text-before-edge" vector-effect="non-scaling-stroke" data-id="5hNn0P16opQFI4UPdvQn_"><path transform="" transform-origin="119 138" d=" M 119 138 L 184 203 " fill="#FFFFFF" stroke="rgb(51, 51, 51)" stroke-width="2" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round" stroke-miterlimit="10" dominant-baseline="text-before-edge" vector-effect="non-scaling-stroke" data-id="ahWS0v6VXnnIXk7FL65oU"><path transform="" transform-origin="314.5 180.5" d=" M 314.5 195.5 L 344.5 180.5 " fill="#FFFFFF" stroke="rgb(51, 51, 51)" stroke-width="2" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round" stroke-miterlimit="10" dominant-baseline="text-before-edge" vector-effect="non-scaling-stroke" data-id="nUde7YOeKGEE9k766hqrc"><path transform ... See the full answer

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