The following table shows the weights (in pounds) and the number of hours slept in a day by a random sample of infants. Test the claim that M at 0. Use 0: = 0.1. Then interpret the results in the context of the problem. If convenient, use technology to solve the problem. 0 Click the icon to view more information about hypothesis testing for slope. WEI-\"I Identify the null and alternative hypotheses. HA: M=O HA: M950 [2:- c. H0:M=0 [2:- D. HO:M20 HA: M0 HA: M5450 Calculate the test statistic. so (Round to three decimal places as needed.) Calculate the P-value P = 0 (Round to four decimal places as needed.) State the conclusion. Reject H0. There is insufficient evidence at the 10% level of signicance to support the claim that there is a linear relationship between weight and number of hours slept. An exponential equation is a nonlinear regression equation of the form y = abx. Use technology to find and graph the exponential equation for the accompanying data, which shows the number of bacteria present after a certain number of hours. Include the original data in the graph. Note that this model can also be found by solving the equation log y = mx + b for y. g Click the icon to view the table of numbers of hours and bacteria. The equation of the regression curve is = ID [ 0 )x (Round to two decimal places as needed.) Choose the correct graph below. Hours Hours Hours Time and Bacteria Count Number of Number of hours, )1: bacteria, y 1 163 281 468 777 1308 1915 4905 -m