Help me out in solving these problems properly

For the data of Exercise 12.5 on page 45!], estimate 02. 12.5 The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature 1:1, the number of days in the month 22, the average product purity 1:3, and the tons of product produced 1'4. The past year's historical data are available and are presented in the nllnwing table. 1; 2:1 1*: Is 3:: 241} 25 2:1 91 11]] 236 31 21 QB 95 290 45 2:11- 33 11[II 2H ED 25 3'? 33 31111 65 25 91 9:1 316 22 26 9-1 99 em SD 25 3"! Q"? 296 34 25 BE 96 2E? 25 2:1 33 11[II WE 2E 91 105 238 5D 25 EU 11]] 261 IE 23 89 93 [a] Fit :1 multiple linear regression nrcdel using the abmre data set. [b] Predict power consumption for a nmoth in which 1'1 = \"35F, :3 = 24 days. :3 = 90%, and 1:4 = 93 tons. \fUsing the data at Exercise 12.5 on page 459 and the estimate 51' 02 Iron": Exercise 12.19, compute 95% condence intervals fortne predicted response and the mean response when x1 = r51 x2 = 24, x3 = so, and x4 = as. 12.5 The electric power consumed each month by a chemical plant is thought to he related to the average ambient temperature 1'1, the number of days in the month are, the average product purity.r 1:3, and the tons of product produced 1:4. The past year's historical data are available and are presented in the following table. y an as 2:3 2:4 249 25 24 91 199 235 31 21 99 95 299 45 24 88 119 2?4 59 25 37 83 391 55 25 91 94 315 T2 25 94 99 399 89 25 37 9? 295 84 25 35 95 25? T5 24 33 119 2?5 59 25 91 195 238 59 25 99 199 251 33 23 39 93 (a) Fit 3. multiple linear regression model using the above data set. The amounts of solids removed from a particular material when exposed to drying periods of different lengths are as shown. 2 [hours] 3; {grams} {a} Estimate the linear regression line. in) Test at the ops level of signicance whetherthe linear model is adequate. A stud}:r was conducted to determine whether lifestyle changes oould replace medication in reducing blood pressure among hvpertensives. The factors considered were a heatthv diet with an exercise program, the typical dosage of medication for hypertension, and no intervention. The pretreatment body.r mass index [Elhlli was also calculated because it is ltnown to affect blood pressure. The response considered in this studyr was change in blood pressure. The variable \"group" had the following levels. 1 = Healthy.r diet and an exercise program 2 = Medication 3 = No intervention {a} Fit an appropriate model using the data below. Does it appear that exercise and diet oould be effectively:r used to lower blood pressure? Explain your answer from the results. {ti} Would exercise and diet be an effective alternative to medication? {Hint You mav wish to form the model in more than one way.r to answer both of these questions} Change in Blood Pressure Group BMI 32 1 27.3 21 1 22.1 25 1 212.1 l 1 27.8 11 2 19.2 19 2 26.1 23 2 28.6 5 2 23.0 \f