A warehouse manager is examining the process distribution to find out the factors that affect warehouse distribution costs Currently, a small handling fee is added to the order, regardless of the amount of the order Data have been taken over the past 10 months indicating thewarehouse distribution costs and the number of orders received The results are shown below Months Distribution costs($) Number of orders 1 627 312 2 216 376 3 1215 920 4 906 956 5 1016 943 6 753 600 7 591 473 8 378 274 9 463 538 10 974 713 Compute the simple linear regression coefficients, b 0 and b 1 , and state the linear regression model Here, Let x be the number of orders and y be the distribution costs Months y x y2 x2 xy 1 627 312 393129 97344 195624 2 216 376 46656 141376 81216 3 1215 920 1476225 846400 1117800 4 906 956 820836 913936 866136 5 1016 943 1032256 889249 958088 6 753 600 567009 360000 451800 7 591 473 349281 223729 279543 8 378 274 142884 75076 103572 9 463 538 214369 289444 249094 10 974 713 948676 508369 694462 Total 7139 6105 5991321 4344923 4997335 Mean for

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Question: A warehouse manager is examining the process distribution to find out the factors that affect warehouse distribution costs. Currently, a small handling fee is added

A warehouse manager is examining the process distribution to find out the factors that affect warehouse distribution costs. Currently, a small handling fee is added to the order, regardless of the amount of the order.Data have been taken over the past 10 months indicating thewarehouse distribution costs and the number of orders received. The results are shown below.

Months	Distribution costs($)	Number of orders
1	627	312
2	216	376
3	1215	920
4	906	956
5	1016	943
6	753	600
7	591	473
8	378	274
9	463	538
10	974	713

Compute the simple linear regression coefficients, b₀ and b₁, and state the linear regression model.

Here,

Let x be the number of orders and y be the distribution costs

Months	y	x	y2	x2	xy
1	627	312	393129	97344	195624
2	216	376	46656	141376	81216
3	1215	920	1476225	846400	1117800
4	906	956	820836	913936	866136
5	1016	943	1032256	889249	958088
6	753	600	567009	360000	451800
7	591	473	349281	223729	279543
8	378	274	142884	75076	103572
9	463	538	214369	289444	249094
10	974	713	948676	508369	694462
Total	7139	6105	5991321	4344923	4997335

Mean for

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