The first five questions are based on the following data on the
stopping distances of cars going various speeds.
speed 10 11 12 13 14 distance 26 28 28 34 36
1. What is the explanatory variable?
A. speed B. distance C. there is no explanatory variable
2. Find ˆ m.
A. −.8 B. ≈ .948 C. 2 D. 2.6 E. other valu
5. Find a 90% confidence interval for the slope of the regression
line.
A. [1.77,3.43] B. [1.61,3.59] C. [1.53,3.67] D. [1.42,3.78] E.
other value
1. What is the explanatory variable?
A. speed
2. Find ˆ m.
D. 2.6
5. Find a 90% confidence interval for the slope of the regression
line.
D. [1.42,3.78]
r² | 0.899 | |||||
r | 0.948 | |||||
Std. Error | 1.592 | |||||
n | 5 | |||||
k | 1 | |||||
Dep. Var. | distance | |||||
ANOVA table | ||||||
Source | SS | df | MS | F | p-value | |
Regression | 67.6000 | 1 | 67.6000 | 26.68 | .0141 | |
Residual | 7.6000 | 3 | 2.5333 | |||
Total | 75.2000 | 4 | ||||
Regression output | confidence interval | |||||
variables | coefficients | std. error | t (df=3) | p-value | 90% lower | 90% upper |
Intercept | -0.8000 | |||||
speed | 2.6000 | 0.5033 | 5.166 | .0141 | 1.4155 | 3.7845 |
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