Method of least squares, evaluation of cost equation lassiter company used the method of least squares to develop a cost equation to predict the cost of moving materials. there were 80 data points for the regression, and the following computer output was generated: intercept $18,950 slope 13 coefficient of correlation 0.92 standard error $220 the activity driver used was the number of moves. required: 1. what is the cost formula? y = $ + $x 2. using the cost formula, predict the cost of moving materials if 330 moves are made. $ 3. what percentage of the variability in moving cost is explained by the number of moves? (round percentage to two decimal places.) %
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