The computer output given below shows a regression of Body Mass (g) vs. Wing Length (mm) for sphinx moths.
Regression Analysis
Body Mass = −1.211 + 0.057 Wing Length
| Summary of Fit | |
| RSquare |
0.694 |
| RSquare Adj |
0.682 |
| S |
0.513 |
| Analysis of Variance | |||||
| Source |
DF |
SS |
MS |
F |
P-value |
| Model |
1 |
15.54 |
15.541 |
59.03 |
<.0001 |
| Error |
26 |
6.84 |
0.263 |
||
| Total |
27 |
22.39 |
|||
| Parameter Estimates | ||||
| Term |
Estimate |
Std Error |
t Ratio |
Prob>|t| |
| Intercept |
−1.2116 |
0.3424 |
−3.539 |
0.0015 |
| Wing Length |
0.0573 |
0.0072 |
7.9588 |
<.0001 |
i) Find the y-intercept.
a) What is the estimated regression line?
ii) Find the estimate of the slop parameter.
b) What is the calculated value of sb?
c) What is the calculated value of se?
e) Assuming all necessary assumptions are satisfied, perform the Model Utility Test for this problem.
What is the value of the t-test statistic?
f) Construct a 95% confidence interval for β.
i) Find the lower bound.
f) Construct a 95% confidence interval for β.
ii) Find the upper bound.
(a): The estimated regression line is:
Body Mass = −1.211 + 0.057 Wing Length
i): The y-intercept is −1.211.
ii): The estimate of the slope parameter is 0.057.
(b): From the table, the calculated value of sb is 0.0072.
(c): From the table, the calculated value of se is given as:
The computer output given below shows a regression of Body Mass (g) vs. Wing Length (mm)...
Below you are given a partial computer output based on a sample of seven (Z) observations ANOVA df 100 Regression Residual Total 6 288.56 Coefficients 5.000 3.729 p-value 0.0942 0.1643 Standard Error t Stat Intercept 2.425 Variable x 2.290 To test whether the parameter β 1 is significantly different from zero (ie.. Ha: β1 f 0), the calculated test statistic equals O 2.0619 O1.628 O -3.473 11.377 none of the above