For the data set shown below, complete parts (a) below. x 3 4 5 7 8 y 5 6 7 11 14 Find the estimates of beta 0 and beta 1. beta = -1.070 beta 1=1.791 Compute the standard error, the point estimate for sigma. s Subscript = (Round to four decimal places as needed.)
The statistical software output for this problem is:
Simple linear regression results:
Dependent Variable: y
Independent Variable: x
y = -1.0697674 + 1.7906977 x
Sample size: 5
R (correlation coefficient) = 0.98194797
R-sq = 0.96422182
Estimate of error standard deviation: 0.82593616
Parameter estimates:
Parameter | Estimate | Std. Err. | Alternative | DF | T-Stat | P-value |
---|---|---|---|---|---|---|
Intercept | -1.0697674 | 1.1370801 | ≠ 0 | 3 | -0.94080219 | 0.4162 |
Slope | 1.7906977 | 0.19915089 | ≠ 0 | 3 | 8.9916628 | 0.0029 |
Analysis of variance table for regression
model:
Source | DF | SS | MS | F-stat | P-value |
---|---|---|---|---|---|
Model | 1 | 55.153488 | 55.153488 | 80.85 | 0.0029 |
Error | 3 | 2.0465116 | 0.68217054 | ||
Total | 4 | 57.2 |
Hence,
b) Standard error = 0.8259
Get Answers For Free
Most questions answered within 1 hours.