ŷ = 20 + 0.8x is given for the data below. Please show steps.
xi |
70 |
75 |
80 |
80 |
85 |
90 |
yi |
75 |
82 |
80 |
86 |
90 |
91 |
ŷi |
76 |
80 |
84 |
84 |
88 |
92 |
ei |
-1 |
2 |
-4 |
2 |
2 |
-1 |
Calculate SSE, the sum of square errors.
Calculate the sample estimate of the variance for the regression model. What is it's purpose?
Calculate the value of R2. What does R2represent?
X | Y | Y' | (Y-Y') | (Y-Y')^2 | (Y'-Y_bar)^2 |
70 | 75 | 76 | -1 | 1 | 64 |
75 | 82 | 80 | 2 | 4 | 16 |
80 | 80 | 84 | -4 | 16 | 0 |
80 | 86 | 84 | 2 | 4 | 0 |
85 | 90 | 88 | 2 | 4 | 16 |
90 | 91 | 92 | -1 | 1 | 64 |
Mean | 84 | Sum | 30 | 160 |
SSE: or
The sample estimate of variance, SSR:
The amount variance covered by regression is sample estimate of variance.
SST=SSR+SSE= 190
The percentage of estimated variance covered by regression:
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