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Suppose you are an inventory manager for a cabinet making company, which restocks their inventory daily. You are responsible for recording the amount of usable wood left over at the end of the day. You wish to create a regression model to predict the amount of usable wood left over at the end of the day, using the amount of cabinets planned to be produced that day. After analyzing the past 26 days of inventory, you create the following regression model 33 = 234. 67 8. 61x, where x is the number of cabinets produced and 57' is the predicted ending inventory level in units of wood. Your analysis also yielded a SE(b1 ) of 1.84. Using this information, construct a confidence interval around the regression slope of your analysis, with a 95% confidence level. Using this information, select the correct statements about of your analysis with respect to the test below. When necessary, round your answers to three decimal places. (select all choices that apply). Hoi1=0 HAI1=O C] The null hypothesis cannot be rejected, since the confidence interval around the regression slope contains zero. C] The upper limit of the confidence interval around the regression slope is -4.812. C] The null hypothesis is rejected, since the upper and the lower limits of the confidence interval are strictly greater than zero. C] The null hypothesis is rejected, since the upper and lower limits of the confidence interval around the regression slope are strictly less than zero. C] The margin of error for the confidence interval around the regression slope is 3.798