Equation
The regression equation, $\hat{ Y }$ = 4 + 1.5x₁ + 2.5x₂ has been fitted to 25 data points.The means of x₁ and x₂ are 30 and 46,respectively.The sum of the squared differences between observed and predicted values of y has been calculated as SSE = 175,and the sum of the squared differences between y values and mean of y is SST = 525.
-What is the approximate 95% prediction interval for an individual y whenever x₁ = 20 and x₂ = 25?

Question

Equation
The regression equation,

\hat{ Y }

= 4 + 1.5x₁ + 2.5x₂ has been fitted to 25 data points.The means of x₁ and x₂ are 30 and 46,respectively.The sum of the squared differences between observed and predicted values of y has been calculated as SSE = 175,and the sum of the squared differences between y values and mean of y is SST = 525.
-What is the approximate 95% prediction interval for an individual y whenever x₁ = 20 and x₂ = 25?

Quizplus · Accepted Answer

The Answer of Equation The regression equation, $\hat{ Y }$ = 4 + 1.5x 1 + 2.5x 2 has been fitted to 25 data points.The means of x 1 and x 2 are 30 and 46,respectively.The sum of the squared differences between observed and predicted values of y has been calculated as SSE = 175,and the sum of the squared differences between y values and mean of y is SST = 525. -What is the approximate 95% prediction interval for an individual y whenever x₁ = 20 and x₂ = 25?

Equation the Regression Equation Y^\hat{ Y }Y^ = 4 + 15x1 + 2

Equation
the Regression Equation $\hat{ Y }$ = 4 + 15x₁ + 2