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[Q6e: Only answer if you ABSOLUTELY know how to solve AND the answers match up (

ID: 3313043 • Letter: #

Question

[Q6e: Only answer if you ABSOLUTELY know how to solve AND the answers match up ((tired of getting wrong replies.) So, please make sure you’re really certain. [It’s appreciated.])

Really Explain EACH STEP, including any formulas you used (& how to use the formula), and explain how to compute with a TI-84 preferably/when possible.]

NO JUST POSTING THE ANSWER WITH NO EXPLANATION/ NO CONVINCING EXPLANATION, I WILL ASSUME IT'S WRONG, AS HAS BEEN THE CASE BEFORE. IF YOU'RE THIS TYPE, MOVE ON.

Question

Question options:

1)

2)

3)

4)

5)

1)

(lifetime) = 0.96*(viscosity) + 0.092*(load) - 72.606

2)

We do not have enough information to determine the regression equation.

3)

(lifetime) = 5.729*(viscosity) + 0.184*(load)

4)

(lifetime) = 5.729*(viscosity) + 0.184*(load) - 72.606

5)

(lifetime) = 5.729*(load) + 0.184*(viscosity) - 72.606 Predictor Constant viscosity load Coef -72.606 5.729 0.184 Stdev 91.623 0.96 0.092 t-ratio -0.79 5.97 2.01 0.4435 6.536e-05 0.06763 = 26.577 R-sq 80 . 71 R-sq (adj ) 77 , 5% Analysis of Variance SOURCE Regression Error Total DE 2 12 MS 17734.1 706.35 25.11 35468.19 8476.17 43944.36

Explanation / Answer

Here we simply look at the coefficient column of the variables table and use the coefficient for each variable to obtain the multiple regression equation as:

(lifetime) = 5.729*(viscosity) + 0.184*(load) - 72.606

because the coefficient for viscosity is 5.729, that for load is 0.184 and the intercept is -72.606 as can be seen from the table.

Therefore 4) is the required answer here.

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