Forest Fires and Acres Burned Numbers (in thousands) of forest fires over the year and the number (in hundred thousands) of acres burned for 6 recent years are shown. The regression line equation is =y′+−27.67200.99464x. The correlation coefficient is =r0.769. Compute the standard error of the estimate rounded to at least two decimal places, if appropriate. Assume =α0.05. The standard error of the estimate should not be calculated. Or The standard error of the estimate should be calculated. Sest= Number of fires x 47 84 62 57 45 72 Number of acres burned y 26 51 15 30 15 62
Forest Fires and Acres Burned Numbers (in thousands) of forest fires over the year and the number (in hundred thousands) of acres burned for 6 recent years are shown. The regression line equation is =y′+−27.67200.99464x. The
The standard error of the estimate should not be calculated. Or The standard error of the estimate should be calculated.
Sest=
| Number of fires
x
|
47
|
84
|
62
|
57
|
45
|
72
|
|---|---|---|---|---|---|---|
| Number of acres burned
y
|
26
|
51
|
15
|
30
|
15
|
62
|
The standard error of the estimate be a method to measure the accuracy of the predictions of a regression model.
Standard error of estimate =√[Σ(y – ŷ)2/n]
Where y= observed value
ŷ = Predicted value, n= Total number of observations.
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