In: Statistics and Probability
For the data and sample regression equation shown below, complete parts (a) through (c).
x |
0 |
3 |
5 |
5 |
5 |
|
ModifyingAbove y with caret equals 4.500 minus 0.917 xy=4.500−0.917x |
---|---|---|---|---|---|---|---|
y |
4 |
3 |
0 |
−2 |
1 |
a. Determine the standard error of the estimate.
b. Construct a residual plot.
c. Construct a normal probability plot of the residuals.
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x | y | Fitted value (y^)=4.500-0.917x | Residual (e )=y-y^ | e^2 |
0 | 4 | 4.5 | -0.5 | 0.25 |
3 | 3 | 1.749 | 1.251 | 1.565001 |
5 | 0 | -0.085 | 0.085 | 0.007225 |
5 | -2 | -0.085 | -1.915 | 3.667225 |
5 | 1 | -0.085 | 1.085 | 1.177225 |
Total | 6.666676 |
b) The residuals plot is
The number of the observation is small but the scatter plot of residuals VS order of observation does not show any pattern. Hence, the asssumption of random on residulas is satisfied.
c)
The dots of the sample quantiles and theoritical quantile form near to a straight line. Hence, the assumption of normality on the rwesiduals is satisfied.