Question

QUESTION 6 The number of pounds of steam used per month 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 temperatures are in the following table: Month | Temp. | Usage/1000 | Month | Temp. | Usage/1000 ---|---|---|---|---|--- Jan. | 21 | 185.79 | July | 68 | 621.55 Feb. | 24 | 214.47 | Aug. | 74 | 675.06 Mar. | 32 | 288.03 | Sept. | 62 | 562.03 Apr. | 47 | 424.84 | Oct. | 50 | 452.93 May | 50 | 454.58 | Nov. | 41 | 369.95 June | 59 | 539.03 | Dec. | 30 | 273.98 (a) Assuming that a simple linear regression model is appropriate, fit the regression model relating steam usage (y) to the average temperature (x). Linear regression model: ? = [ ] * x + [ ] R squared value for above model: R^2 = [ ] (b) What is the estimate of expected steam usage when the average temperature is 55°F? [ ] (c) What change in mean steam usage is expected when the monthly average temperature changes by 1°F? [ ]

          QUESTION 6
The number of pounds of steam used per month 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 temperatures are in the following table:

Month | Temp. | Usage/1000 | Month | Temp. | Usage/1000
---|---|---|---|---|---
Jan. | 21 | 185.79 | July | 68 | 621.55
Feb. | 24 | 214.47 | Aug. | 74 | 675.06
Mar. | 32 | 288.03 | Sept. | 62 | 562.03
Apr. | 47 | 424.84 | Oct. | 50 | 452.93
May | 50 | 454.58 | Nov. | 41 | 369.95
June | 59 | 539.03 | Dec. | 30 | 273.98

(a) Assuming that a simple linear regression model is appropriate, fit the regression model relating steam usage (y) to the average temperature (x).
Linear regression model:
? = [ ] * x + [ ]

R squared value for above model:
R^2 = [ ]
(b) What is the estimate of expected steam usage when the average temperature is 55°F? [ ]
(c) What change in mean steam usage is expected when the monthly average temperature changes by 1°F? [ ]

QUESTION 6
The number of pounds of steam used per month 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 temperatures are in the following table:

Month | Temp. | Usage/1000 | Month | Temp. | Usage/1000
—|—|—|—|—|—
Jan. | 21 | 185.79 | July | 68 | 621.55
Feb. | 24 | 214.47 | Aug. | 74 | 675.06
Mar. | 32 | 288.03 | Sept. | 62 | 562.03
Apr. | 47 | 424.84 | Oct. | 50 | 452.93
May | 50 | 454.58 | Nov. | 41 | 369.95
June | 59 | 539.03 | Dec. | 30 | 273.98

(a) Assuming that a simple linear regression model is appropriate, fit the regression model relating steam usage (y) to the average temperature (x).
Linear regression model:
? = [ ] * x + [ ]

R squared value for above model:
R^2 = [ ]
(b) What is the estimate of expected steam usage when the average temperature is 55°F? [ ]
(c) What change in mean steam usage is expected when the monthly average temperature changes by 1°F? [ ]

Added by Alberto M.

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