The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature (x₁), thenumber of days in the month (x₂), the average product purity (x3), and the tons of product produced (x4). The past year's historical dataare available and are presented in the following table:Y240236270274301316270296267276288261253145606572808475605038X2242124252526252524252523Fit a multiple linear regression to predict power (y) using x1, X2 X3, and X4.Calculate R2 for this model. Round your answer to 3 decimal places.919088879194878688919089X410095110889499979611010510098

It is required to obtain the value of R2 for the multiple linear regression model.

The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature (x₁), the number of days in the month (x₂), the average product purity (x3), and the tons of product produced (x4). The past year's historical data are available and are presented in the following table: 240 236 270 274 301 316 270 296 267 276 288 261 X1 25 31 45 60 65 72 80 84 75 60 50 38 X2 24 21 90 24 88 25 87 25 91 26 94 25 87 25 86 24 88 25 25 23 Fit a multiple linear regression to predict power (y) using x₁, x2. x3, and X4 Calculate R2 for this model. Round your answer to 3 decimal places. R²-i X3 91 91 90 89 100 95 110 88 94 99 97 96 110 105 100 98