Use the results of the experiment produced in Exercise 4 to construct all pairwise comparison confidence intervals to estimate the difference in the mean length of continuous use for this flashlight when using either Duracell, Energizer, or Rayovac brand alkaline AA batteries with a simultaneous confidence level of 99%. Interpret the results.

Linear Regression Analysis is used to predict one variable based on the linear relationship with another Enter the predictor data (xi) into L1 Enter the predicted data (yi) into L2 LinReg(ax+b) L1,L2 The linear regression model that will best predict y based on x is y = ax + b where a is the slope and b is the y-intercept It is appropriate to use the linear regression model to make predictions when the coefficient of determination r2 is close to 1. When r2 is close to 1, the linear regression model fits the sample data very well.

exercise 4: Thirty identical flashlights were loaded with newly purchased alkaline AA batteries. Ten of them contained Duracell, ten contained Energizer, and ten contained Rayovac brand batteries. The flashlights were turned on and placed on a bookshelf where a time-lapse video camera captured how long (in minutes) each beam of light lasted. These times are displayed in the following table. Brand Time (in minutes) of Flashlight Continuous Use with New Alkaline AA Batteries Duracell 244 241 236 239 240 237 243 251 245 232 Energizer 231 240 236 243 246 249 238 247 236 240 Rayovac 178 184 185 167 183 191 166 185 171 182 Use a 0.01 level of significance to conduct a hypothesis test to establish if the mean length of continuous use for this flashlight is equivalent when using either Duracell, Energizer, or Rayovac brand alkaline AA batteries.