Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

Please answer part a, b , and C Place a box for the answer The number of pounds

ID: 3221314 • Letter: P

Question

Please answer part a, b , and C
Place a box for the answer The number of pounds of steam per by a chemical plant is thought to be related to the average ambient temperature (in "F for that month. The past year's usage and temperature are shown in the following table. Month Temp. Usage/1000 Month Temp. Usage/1000 Jan. 21 July 68 621.55 675.06 Feb. 24 Aug. 74 214.47 Sept. 62 562.03 32 288.03 41 369.95 454.58 June 59 539.03 I Dec. 30 27398 The following output is from Minitab: Predictor Coef SE Coef Constant 6.336 1.668 3.80 0.003 9.20836 0.03377 272.64 0.000 Temp 1.94284 R-sq 100.08 R-Sq (adj) 100.08

Explanation / Answer

Answer:

a).   334.3739

b). (332.3261, 336.4217)

c). (327.8849, 340.8629)

Regression Analysis

1.000

n

12

r

1.000

k

1

Std. Error

1.943

Dep. Var.

y

ANOVA table

Source

SS

df

MS

F

p-value

Regression

280,583.1194

1  

280,583.1194

74334.36

1.08E-20

Residual

37.7461

10  

3.7746

Total

280,620.8655

11  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=10)

p-value

99% lower

99% upper

Intercept

-6.3355

1.6676

-3.799

.0035

-11.6207

-1.0503

x

9.2084

0.0338

272.643

1.08E-20

9.1013

9.3154

Predicted values for: y

99% Confidence Interval

99% Prediction Interval

x

Predicted

lower

upper

lower

upper

Leverage

37

334.37389

332.32609

336.42169

327.88492

340.86287

0.111

Regression Analysis

1.000

n

12

r

1.000

k

1

Std. Error

1.943

Dep. Var.

y

ANOVA table

Source

SS

df

MS

F

p-value

Regression

280,583.1194

1  

280,583.1194

74334.36

1.08E-20

Residual

37.7461

10  

3.7746

Total

280,620.8655

11  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=10)

p-value

99% lower

99% upper

Intercept

-6.3355

1.6676

-3.799

.0035

-11.6207

-1.0503

x

9.2084

0.0338

272.643

1.08E-20

9.1013

9.3154

Predicted values for: y

99% Confidence Interval

99% Prediction Interval

x

Predicted

lower

upper

lower

upper

Leverage

37

334.37389

332.32609

336.42169

327.88492

340.86287

0.111