We give JMP output of regression analysis. Above output we give the regression model and the number of observations, n, used to perform the regression analysis under consideration. Using the model, sample size n, and output: Model: y = β0 + β1x1 + β2x2 + β3x3 + ε Sample size: n = 30

Summary of Fit

RSquare 0.956255

RSquare Adj 0.951207

Root Mean Square Error 0.240340

Mean of Response 8.382667

Observations (or Sum Wgts) 30

Analysis of Variance

Source df Sum of Squares Mean Square F Ratio

Model 3 32.829545 10.94320 189.4492

Error 26 1.501842 0.05780 Prob > F

C. Total 29 34.331387

answer: i think it is (1,-2)

let's add {f(x)=x+1}f(x)=x+1 and {g(x)=2x}g(x)=2x together to make a new function.

f(x)+g(x) =(x+1)+(2x)=x+1+2x=3x+1

let's call this new function hh. so we have:

{h(x)}={f(x)}+{g(x)}{=3x+1}h(x)=f(x)+g(x)=3x+1

we can also evaluate combined functions for particular inputs. let's evaluate function hh above for x=2x=2. below are two ways of doing this.

method 1: substitute x=2x=2 into the combined function hh.

h(x)

h(2)

​    

=3x+1

=3(2)+1

=7

​ since h(x)=f(x)+g(x)h(x)=f(x)+g(x), we can also find h(2)h(2) by finding f(2) +g(2)f(2)+g(2).

first, let's find f(2)f(2):

f(x)

f(2)

​    

=x+1

=2+1

=3

​  

now, let's find g(2)g(2):

g(x)

g(2)

​    

=2x

=2⋅2

=4

​  

so f(2)+g(2)=3+4=\greend7f(2)+g(2)=3+4=7.

notice that substituting x =2x=2 directly into function hh and finding f(2) + g(2)f(2)+g(2) gave us the same answer!

your answer   is c

step-by-step explanation:

2x + 8

step-by-step explanation: