Question

Needs help: Simple linear regression model​

In a yearlong study of gas usage to heat a particular building, on 37 randomly selected days during the year, the average outside temperature was measured as well as the corresponding gas usage for a 24-hour period. The simple linear model E(y) = β0 + β1x, where x is the average outside temperature over a 24-hour period and y is the gas usage during that same time period, was fit to the data. The analysis is given below.


Regression Statistics
Multiplier0.4804958
R Square0.23087621
Adj R   Square0.20890125
STD Error1.82116543
Observations37



DFSSMSFP-value
REGRESSION134.8457534.8457510.506330.002612
RESIDUAL
35116.08253.316644

TOTAL
36150.9283




INTERCEPTTEMPERATURE
Coefficients20.7988204-0.016266
Std Error10.7481730.00501828
t Stat1.9351029-3.2413468
P-value0.061091070.00261236
Lower 95%-1.0211305-0.0264536
Upper 95%42.6187720.0060783
Lower 95%1.02113050.0264536
Upper 95%42.618772-0.0060783


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Answer #1

"At  α=.05, there   is ________________ between average outside temperature and   gas usage.”     

What is the   appropriate phrase to fill in the blank?    

A.    Insufficient evidence of a positive   linear relationship    

B.    Sufficient evidence of a positive   linear relationship    

C.    Insufficient evidence of a negative   linear relationship    

D.    Sufficient evidence of a negative   linear relationship    


answered by: Elena Christensen
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