Brumer Co. has accumulated data to use in preparing its annual profit plan for the upcoming year. The cost behavior pattern of the maintenance costs must be determined. Data regarding the machine hours and maintenance costs for the last year and the results of the regression analysis are in the photo.

The t statistic for the independent variable: A. Is statistically significant at less than 5% risk B. At 11.46, is statistically significant C. At 52.78, is too large to be statistically significant D. Lies somewhere between 6.49 and 7.063

3,600 3,380 650 400 3,550 3.640 Sept 610 $51,830 $4,319 522 A staff assistant has nun regression analyses on the deta and obtained the following output using Excel Y (Dependent) Veriable: Maintenance Cost X (ndependent) Veriable: Meintenance Hours Mubiple R 0.998210294 0.995423751 6171342.448 6171342 2786 257 10 22149 218561 2214922 6193491667 Coellicients Stand 783.7782188 68.34114772 1,46861 447E 07 6777102456 012839066 52.78501 144E- lower 95%| 631 504653 936 05178 6.491030239 70631747 upper t Stal Pvalue